ACCESS-OM3 and ACCESS-OM2 timeseries¶

Includes both scalar variables and spatial averages of 2d variables.

In [1]:

parameters

# These first two cells must be in all notebooks!
# It allows us to run all the notebooks at once, this cell has a tag "parameters" which allows us to pass in 
# arguments externally using papermill (see mkfigs.sh for details)

# Set esm_file to the datastore for the main experiment of interest
# esm_file = "/g/data/ol01/outputs/access-om3-25km/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json"
# esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json"
# esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json"
esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test4-d28e0359/datastore.json"
#esm_file = "/g/data/zv30/non-cmip/ACCESS-CM3/cm3-run-27-07-2026-PD-control/cm3-datastore/cm3-datastore.json"

# papermill settings. *No need to modify these if running interactively.* 
papermill = False                      # `cwd` and `nbname` will be populated by papermill.
cwd = None                             # current working directory 
nbname = None                          # notebook name

# These first two cells must be in all notebooks! # It allows us to run all the notebooks at once, this cell has a tag "parameters" which allows us to pass in # arguments externally using papermill (see mkfigs.sh for details) # Set esm_file to the datastore for the main experiment of interest # esm_file = "/g/data/ol01/outputs/access-om3-25km/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json" # esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json" # esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json" esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test4-d28e0359/datastore.json" #esm_file = "/g/data/zv30/non-cmip/ACCESS-CM3/cm3-run-27-07-2026-PD-control/cm3-datastore/cm3-datastore.json" # papermill settings. *No need to modify these if running interactively.* papermill = False # `cwd` and `nbname` will be populated by papermill. cwd = None # current working directory nbname = None # notebook name

In [2]:

injected-parameters

# Parameters
esm_file = "/jobfs/181564813.gadi-pbs/MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d/datastore.json"
papermill = True
cwd = "/g/data/tm70/cyb561/access-om3-live/access-om3-paper-1/notebooks/mkfigs_output_MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d/"
nbname = "timeseries.ipynb"

# Parameters esm_file = "/jobfs/181564813.gadi-pbs/MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d/datastore.json" papermill = True cwd = "/g/data/tm70/cyb561/access-om3-live/access-om3-paper-1/notebooks/mkfigs_output_MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d/" nbname = "timeseries.ipynb"

In [3]:

import os
if not papermill: 
    import nci_ipynb  # requires conda/analysis3-26.03 or later
    cwd = nci_ipynb.dir()
    nbname = nci_ipynb.name()
    os.chdir(cwd)
import mkfigs_bootstrap  # noqa: adds external/access-model-mkfigs/src to sys.path (stop-gap)
from mkfigs import MkmdWriter
mkmd = MkmdWriter(esm_file, nbname, str(cwd), pm=papermill)
from exptdata_access import guess_experiment_from_esm_file, get_exptname_from_path
expt_key, info = guess_experiment_from_esm_file(esm_file)
model_name = info["model"]  # OM3 or CM3

import os if not papermill: import nci_ipynb # requires conda/analysis3-26.03 or later cwd = nci_ipynb.dir() nbname = nci_ipynb.name() os.chdir(cwd) import mkfigs_bootstrap # noqa: adds external/access-model-mkfigs/src to sys.path (stop-gap) from mkfigs import MkmdWriter mkmd = MkmdWriter(esm_file, nbname, str(cwd), pm=papermill) from exptdata_access import guess_experiment_from_esm_file, get_exptname_from_path expt_key, info = guess_experiment_from_esm_file(esm_file) model_name = info["model"] # OM3 or CM3

In [4]:

%matplotlib inline
from model_agnostic import patch_broken_conda_env, patch_dask_workers
patch_broken_conda_env()  # conda env workaround; no-op on healthy envs

import pandas as pd
import intake
import xarray as xr
import numpy as np
import cf_xarray as cfxr
import pint_xarray
from pint import application_registry as ureg
import cf_xarray.units
import cftime
import xgcm
import os

import matplotlib.pyplot as plt
import cmocean as cm
import cartopy.crs as ccrs
import cartopy.feature as cft

from dask.distributed import Client

%matplotlib inline from model_agnostic import patch_broken_conda_env, patch_dask_workers patch_broken_conda_env() # conda env workaround; no-op on healthy envs import pandas as pd import intake import xarray as xr import numpy as np import cf_xarray as cfxr import pint_xarray from pint import application_registry as ureg import cf_xarray.units import cftime import xgcm import os import matplotlib.pyplot as plt import cmocean as cm import cartopy.crs as ccrs import cartopy.feature as cft from dask.distributed import Client

In [5]:

xr.set_options(keep_attrs=True); # cf_xarray works best when xarray keeps attributes by default

xr.set_options(keep_attrs=True); # cf_xarray works best when xarray keeps attributes by default

In [6]:

client = Client(threads_per_worker=1)
patch_dask_workers(client)  # patch workers too
client

client = Client(threads_per_worker=1) patch_dask_workers(client) # patch workers too client

Out[6]:

Client

Client-283ef5e6-cb7a-11f1-84d2-0000008cfe80

Connection method: Cluster object	Cluster type: distributed.LocalCluster
Dashboard: http://127.0.0.1:8787/status

Launch dashboard in JupyterLab

Cluster Info

LocalCluster

51abe14e

Dashboard: http://127.0.0.1:8787/status	Workers: 16
Total threads: 16	Total memory: 188.56 GiB
Status: running	Using processes: True

Scheduler Info

Scheduler

Scheduler-4b772b3b-0a67-49dc-8df2-5677a13c1b8c

Comm: tcp://127.0.0.1:43979	Workers: 0
Dashboard: http://127.0.0.1:8787/status	Total threads: 0
Started: Just now	Total memory: 0 B

Workers

Worker: 0

Comm: tcp://127.0.0.1:33933	Total threads: 1
Dashboard: http://127.0.0.1:42481/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:37269
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-rotlg5eg

Worker: 1

Comm: tcp://127.0.0.1:46733	Total threads: 1
Dashboard: http://127.0.0.1:37719/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:46709
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-k24b2mhy

Worker: 2

Comm: tcp://127.0.0.1:36393	Total threads: 1
Dashboard: http://127.0.0.1:42895/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:44545
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-olwwj7xe

Worker: 3

Comm: tcp://127.0.0.1:41915	Total threads: 1
Dashboard: http://127.0.0.1:37515/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:37993
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-bz2imir_

Worker: 4

Comm: tcp://127.0.0.1:46721	Total threads: 1
Dashboard: http://127.0.0.1:42795/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:43193
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-ld21x025

Worker: 5

Comm: tcp://127.0.0.1:44519	Total threads: 1
Dashboard: http://127.0.0.1:45683/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:33121
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-gslo6ns1

Worker: 6

Comm: tcp://127.0.0.1:45237	Total threads: 1
Dashboard: http://127.0.0.1:39501/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:36465
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-5tju3vwd

Worker: 7

Comm: tcp://127.0.0.1:43463	Total threads: 1
Dashboard: http://127.0.0.1:35297/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:39515
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-d7x6vvv7

Worker: 8

Comm: tcp://127.0.0.1:34693	Total threads: 1
Dashboard: http://127.0.0.1:46191/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:35165
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-msty21_h

Worker: 9

Comm: tcp://127.0.0.1:42473	Total threads: 1
Dashboard: http://127.0.0.1:38377/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:34659
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-mszzy1iu

Worker: 10

Comm: tcp://127.0.0.1:39883	Total threads: 1
Dashboard: http://127.0.0.1:41701/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:43505
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-q0q4uwkd

Worker: 11

Comm: tcp://127.0.0.1:40153	Total threads: 1
Dashboard: http://127.0.0.1:39307/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:39061
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-tix7q8wp

Worker: 12

Comm: tcp://127.0.0.1:45651	Total threads: 1
Dashboard: http://127.0.0.1:45259/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:34489
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-pt0fsqey

Worker: 13

Comm: tcp://127.0.0.1:35001	Total threads: 1
Dashboard: http://127.0.0.1:45061/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:46765
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-fil8e9cm

Worker: 14

Comm: tcp://127.0.0.1:38415	Total threads: 1
Dashboard: http://127.0.0.1:37867/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:35963
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-jl5nrwey

Worker: 15

Comm: tcp://127.0.0.1:41673	Total threads: 1
Dashboard: http://127.0.0.1:46091/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:35315
Local directory: /jobfs/181564813.gadi-pbs/dask-scratch-space/worker-bkc4mxhp

In [7]:

thisdir = './'

thisdir = './'

In [8]:

IAF = esm_file.find('iaf') > 0
IAF

IAF = esm_file.find('iaf') > 0 IAF

Out[8]:

True

Define data sources¶

In [9]:

catalogs = [
                # '/g/data/ol01/access-om3-output/access-om3-025/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json',
                '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json',
                '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json',
                # '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-COARE-12fab415/datastore.json',
                esm_file,  # the CM3/OM3 experiment under test -- already includes CM3 when esm_file is a CM3 path
                "/g/data/ol01/outputs/access-om3-100km/MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c/experiment_datastore.json",   # 100km RYF spin-up
            ]
catalogs

catalogs = [ # '/g/data/ol01/access-om3-output/access-om3-025/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json', '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json', '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json', # '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-COARE-12fab415/datastore.json', esm_file, # the CM3/OM3 experiment under test -- already includes CM3 when esm_file is a CM3 path "/g/data/ol01/outputs/access-om3-100km/MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c/experiment_datastore.json", # 100km RYF spin-up ] catalogs

Out[9]:

['/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json',
 '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json',
 '/jobfs/181564813.gadi-pbs/MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d/datastore.json',
 '/g/data/ol01/outputs/access-om3-100km/MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c/experiment_datastore.json']

In [10]:

datastores = { get_exptname_from_path(c):
               intake.open_esm_datastore(c, columns_with_iterables=['variable'])
              for c in catalogs }
datastores

datastores = { get_exptname_from_path(c): intake.open_esm_datastore(c, columns_with_iterables=['variable']) for c in catalogs } datastores

Out[10]:

{'MC_25km_jra_iaf-1.0-beta-5165c0f8': <datastore catalog with 22 dataset(s) from 6042 asset(s)>,
 'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <datastore catalog with 24 dataset(s) from 32927 asset(s)>,
 'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <datastore catalog with 24 dataset(s) from 5914 asset(s)>,
 'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <experiment_datastore catalog with 15 dataset(s) from 8540 asset(s)>}

In [11]:

if model_name == "ACCESS-CM3":
    # ACCESS-CM2 cj877 control run reference (as in other CM3 notebooks).
    # Its scalar diagnostics use the same variable names as the OM2 catalog.
    om2expt = 'cj877'
    import glob
    _cm2_files = sorted(glob.glob('/g/data/p73/archive/CMIP6/non-CMIP/ACCESS-CM2/cj877/history/ocn/ocean-scalar-1-daily-ym_*.nc'))
    om2cat = xr.open_mfdataset(_cm2_files, combine="by_coords", parallel=True, chunks={"time": 181},
                               decode_timedelta=False, use_cftime=True,
                               data_vars="minimal", coords="minimal", compat="override")
else:
    # ACCESS-OM2-025 experiment
    # use control - see https://forum.access-hive.org.au/t/access-om2-control-experiments/258
    if IAF:
        om2expt = '025deg_jra55_iaf_omip2_cycle1'
    else:
        om2expt = '025deg_jra55_ryf9091_gadi'
    om2cat = intake.cat.access_nri[om2expt]

if model_name == "ACCESS-CM3": # ACCESS-CM2 cj877 control run reference (as in other CM3 notebooks). # Its scalar diagnostics use the same variable names as the OM2 catalog. om2expt = 'cj877' import glob _cm2_files = sorted(glob.glob('/g/data/p73/archive/CMIP6/non-CMIP/ACCESS-CM2/cj877/history/ocn/ocean-scalar-1-daily-ym_*.nc')) om2cat = xr.open_mfdataset(_cm2_files, combine="by_coords", parallel=True, chunks={"time": 181}, decode_timedelta=False, use_cftime=True, data_vars="minimal", coords="minimal", compat="override") else: # ACCESS-OM2-025 experiment # use control - see https://forum.access-hive.org.au/t/access-om2-control-experiments/258 if IAF: om2expt = '025deg_jra55_iaf_omip2_cycle1' else: om2expt = '025deg_jra55_ryf9091_gadi' om2cat = intake.cat.access_nri[om2expt]

Load grid data¶

This is needed for xgcm so we can get spatial averages of non-scalar data.

In [12]:

exptname = get_exptname_from_path(esm_file)
# filename regex matches om3 and cm3 static files
static = xr.open_dataset(datastores[exptname].search(filename=".*mom6.static.nc").df.loc[0, "path"]).drop_vars("time")

exptname = get_exptname_from_path(esm_file) # filename regex matches om3 and cm3 static files static = xr.open_dataset(datastores[exptname].search(filename=".*mom6.static.nc").df.loc[0, "path"]).drop_vars("time")

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/argopy/utils/lists.py:38: UserWarning: An error occurred while loading the ERDDAP data fetcher, it will not be available !
<class 'requests.exceptions.ConnectionError'>
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e9f217f0>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  warnings.warn(

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/argopy/utils/lists.py:50: UserWarning: An error occurred while loading the ArgoVis data fetcher, it will not be available !
<class 'requests.exceptions.ConnectionError'>
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e9926f60>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  warnings.warn(

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/argopy/utils/lists.py:66: UserWarning: An error occurred while loading the GDAC data fetcher, it will not be available !
<class 'requests.exceptions.ConnectionError'>
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e9dd5850>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  warnings.warn(

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/argopy/utils/lists.py:91: UserWarning: An error occurred while loading the ERDDAP index fetcher, it will not be available !
<class 'requests.exceptions.ConnectionError'>
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e99251c0>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  warnings.warn(

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/argopy/utils/lists.py:107: UserWarning: An error occurred while loading the GDAC index fetcher, it will not be available !
<class 'requests.exceptions.ConnectionError'>
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e9924a10>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  warnings.warn(

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/xarray/backends/plugins.py:109: RuntimeWarning: Engine 'argo' loading failed:
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546ea0dbec0>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  external_backend_entrypoints = backends_dict_from_pkg(entrypoints_unique)

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/xarray/backends/plugins.py:109: RuntimeWarning: Engine 'erddapy' loading failed:
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /IrishMarineInstitute/awesome-erddap/master/erddaps.json (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x1546e866c9b0>: Failed to establish a new connection: [Errno 101] Network is unreachable'))
  external_backend_entrypoints = backends_dict_from_pkg(entrypoints_unique)
WARNING:pint.util:Redefining 'degrees_north' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_N' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreesN' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_north' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_N' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreeN' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_east' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_E' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreesE' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_east' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_E' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreeE' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'gpm' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

In [13]:

# See https://xgcm.readthedocs.io/en/latest/xgcm-examples/03_MOM6/#xgcm-grid-definition
symmetric = True  # True for ACCESS-OM3 2025.08.000 and later

if symmetric:  # ACCESS-OM3 version 2025.08.000 and later: one more q point than h points
    coords={
        'X': {'center': 'xh', 'outer': 'xq'},
        'Y': {'center': 'yh', 'outer': 'yq'},
        # 'Z': { 'inner': 'zl', 'outer': 'zi'}
    }
else:  # ACCESS-OM3 versions prior to 2025.08.000: equal number of q and h points
    coords={
        'X': {'center': 'xh', 'right': 'xq'},
        'Y': {'center': 'yh', 'right': 'yq'},
        # 'Z': { 'inner': 'zl', 'outer': 'zi'}
    }

grid = xgcm.Grid(
    static,
    coords=coords,
    metrics = {
        ('X',): ['dxt', 'dxCu', 'dxCv'], # X distances
        ('Y',): ['dyt', 'dyCu', 'dyCv'], # Y distances
        ('X', 'Y'): ['areacello', 'areacello_cu', 'areacello_cv', 'areacello_bu'] # Areas
    },
    periodic=['X'],
    autoparse_metadata=False
# Note, autoparse_metadata=False is required below for xgcm >= 0.9.0 to prevent xgcm 
# from trying to autoparse non-existent grid information from the file metadata, 
# leading to the error:
# ValueError: Found two coordinates without `c_grid_axis_shift` attribute for axis X
)

# See https://xgcm.readthedocs.io/en/latest/xgcm-examples/03_MOM6/#xgcm-grid-definition symmetric = True # True for ACCESS-OM3 2025.08.000 and later if symmetric: # ACCESS-OM3 version 2025.08.000 and later: one more q point than h points coords={ 'X': {'center': 'xh', 'outer': 'xq'}, 'Y': {'center': 'yh', 'outer': 'yq'}, # 'Z': { 'inner': 'zl', 'outer': 'zi'} } else: # ACCESS-OM3 versions prior to 2025.08.000: equal number of q and h points coords={ 'X': {'center': 'xh', 'right': 'xq'}, 'Y': {'center': 'yh', 'right': 'yq'}, # 'Z': { 'inner': 'zl', 'outer': 'zi'} } grid = xgcm.Grid( static, coords=coords, metrics = { ('X',): ['dxt', 'dxCu', 'dxCv'], # X distances ('Y',): ['dyt', 'dyCu', 'dyCv'], # Y distances ('X', 'Y'): ['areacello', 'areacello_cu', 'areacello_cv', 'areacello_bu'] # Areas }, periodic=['X'], autoparse_metadata=False # Note, autoparse_metadata=False is required below for xgcm >= 0.9.0 to prevent xgcm # from trying to autoparse non-existent grid information from the file metadata, # leading to the error: # ValueError: Found two coordinates without `c_grid_axis_shift` attribute for axis X )

Define list of variables and load them¶

In [14]:

fields = { # key is OM3 name, value is OM2 name
    # 'mlotst': 'mld',
    # keys from ncdump -h ctrl_run_25km_0.5/archive/output009/access-om3.mom6.scalar.1day.snap.1962.nc | grep double
    'masso': None, # Mass of liquid ocean
    'soga': 'salt_global_ave',
    'thetaoga': 'temp_global_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326
    'tosga': 'temp_surface_ave',   # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326
    'sosga': 'salt_surface_ave',
    'speed_max': None,
    'mlotst_max': None,
    'tos_max': None,
    'tos_min': None,
    'sos_max': None,
    'sos_min': None,
    'zos_max': None,
    'zos_min': None, 
    'total_salt_Flux_Added': None,
    'total_salt_Flux_In': None,
    'total_salt_flux': None,
    'net_fresh_water_global_adjustment': None,
    'salt_flux_global_restoring_adjustment': None,
    'total_wfo': None,
    'total_evs': None,
    'total_fsitherm': None,
    'total_precip': None,
    'total_prsn': None,
    'total_lprec': None,
    'total_ficeberg': None,
    'total_friver': None,
    'total_net_massout': None,
    'total_net_massin': None,
}
fields

fields = { # key is OM3 name, value is OM2 name # 'mlotst': 'mld', # keys from ncdump -h ctrl_run_25km_0.5/archive/output009/access-om3.mom6.scalar.1day.snap.1962.nc | grep double 'masso': None, # Mass of liquid ocean 'soga': 'salt_global_ave', 'thetaoga': 'temp_global_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326 'tosga': 'temp_surface_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326 'sosga': 'salt_surface_ave', 'speed_max': None, 'mlotst_max': None, 'tos_max': None, 'tos_min': None, 'sos_max': None, 'sos_min': None, 'zos_max': None, 'zos_min': None, 'total_salt_Flux_Added': None, 'total_salt_Flux_In': None, 'total_salt_flux': None, 'net_fresh_water_global_adjustment': None, 'salt_flux_global_restoring_adjustment': None, 'total_wfo': None, 'total_evs': None, 'total_fsitherm': None, 'total_precip': None, 'total_prsn': None, 'total_lprec': None, 'total_ficeberg': None, 'total_friver': None, 'total_net_massout': None, 'total_net_massin': None, } fields

Out[14]:

{'masso': None,
 'soga': 'salt_global_ave',
 'thetaoga': 'temp_global_ave',
 'tosga': 'temp_surface_ave',
 'sosga': 'salt_surface_ave',
 'speed_max': None,
 'mlotst_max': None,
 'tos_max': None,
 'tos_min': None,
 'sos_max': None,
 'sos_min': None,
 'zos_max': None,
 'zos_min': None,
 'total_salt_Flux_Added': None,
 'total_salt_Flux_In': None,
 'total_salt_flux': None,
 'net_fresh_water_global_adjustment': None,
 'salt_flux_global_restoring_adjustment': None,
 'total_wfo': None,
 'total_evs': None,
 'total_fsitherm': None,
 'total_precip': None,
 'total_prsn': None,
 'total_lprec': None,
 'total_ficeberg': None,
 'total_friver': None,
 'total_net_massout': None,
 'total_net_massin': None}

In [15]:

# from https://github.com/COSIMA/cosima-recipes/blob/main/Cooking-Lessons-101-Tutorials/ACCESS-NRI_Intake_Catalog.ipynb
# Speeding up opening your datasets
# Try passing the following argument to your to_dask or to_dataset_dict call:
# See the xarray documentation on Reading multi-file datasets for more details about these arguments.
# https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets

xarray_combine_by_coords_kwargs=dict(
    compat="override",
    data_vars="minimal",
    coords="minimal"
)

# from https://github.com/COSIMA/cosima-recipes/blob/main/Cooking-Lessons-101-Tutorials/ACCESS-NRI_Intake_Catalog.ipynb # Speeding up opening your datasets # Try passing the following argument to your to_dask or to_dataset_dict call: # See the xarray documentation on Reading multi-file datasets for more details about these arguments. # https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets xarray_combine_by_coords_kwargs=dict( compat="override", data_vars="minimal", coords="minimal" )

In [16]:

# load data, with lots of workarounds for disambiguation
data = dict()
for k, om2 in fields.items():
    print(k)
    # d = [ ds.search(variable=k).to_dataset_dict(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for ds in datastores ]
    try:
        d = { n: ds.search(variable=k) for n, ds in datastores.items() }
        d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
    except ValueError:
        try:
            d = { n: ds.search(variable=k, frequency='1mon', variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() }
            d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
        except:
            try:
                d = { n: ds.search(variable=k, variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() }
                d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
            except:
                try:
                    d = { n: ds.search(variable=k, variable_cell_methods='.*time: point.*') for n, ds in datastores.items() }
                    d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                except:
                    try:
                        d = { n: ds.search(variable=k, variable_cell_methods='.*time: min.*') for n, ds in datastores.items() }
                        d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                    except:
                        try:
                            d = { n: ds.search(variable=k, variable_cell_methods='.*time: max.*') for n, ds in datastores.items() }
                            d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                        except:
                            print(f'{k} failed')
                            continue
    if om2 is None: # add reference model data, with variable name changed to match om3
        d2 = {}
    elif model_name == "ACCESS-CM3":
        cm2_da = om2cat[[om2]].isel(scalar_axis=0, drop=True).rename({om2: k})  # drop dummy scalar_axis dim
        # relabel cj877 (cftime, model years) onto CM3's own datetime64 time axis,
        # matching elapsed time since each run's start (both are daily)
        _cm3t = d[exptname].time
        n = min(cm2_da.sizes["time"], _cm3t.sizes["time"])
        cm2_da = cm2_da.isel(time=slice(None, n)).assign_coords(time=("time", _cm3t.isel(time=slice(None, n)).values))
        d2 = {om2expt: cm2_da}
    else:
        # d[om2expt] = om2cat.search(variable=om2).to_dask().rename({om2: k})
        d2 = {om2expt: om2cat.search(variable=om2, frequency=d[list(d.keys())[0]].attrs['intake_esm_attrs:frequency']).to_dask().rename({om2: k})}
    # if d:
    #     data[k] = xr.concat(d, 'time')
    # else:
    #     print(f'no data for {k}')
    # break
    data[k] = d2 | d
    # break

if IAF:
    for vname, d in data.items():
        for expt in d.keys():
            try:
                d[expt] = d[expt].convert_calendar("proleptic_gregorian", use_cftime=True)
            except KeyError:
                pass

# RYF spin-up runs use a synthetic calendar (e.g. starting ~1900s) unrelated to real
# forcing dates, so their time axis does not overlap the IAF experiments at all.
# Relabel onto the primary experiment's real time axis so the RYF run plots on the
# same timescale as the IAF runs. Only applied to the RYF experiment.
_ryf_expt = "MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c"
for _vname, _d in data.items():
    if _ryf_expt not in _d or exptname not in _d:
        continue
    _ref = _d[exptname].time
    _rds = _d[_ryf_expt]
    _n = min(_rds.sizes["time"], _ref.sizes["time"])
    _d[_ryf_expt] = (_rds.isel(time=slice(None, _n))
                         .assign_coords(time=("time", _ref.isel(time=slice(None, _n)).values)))

data

# load data, with lots of workarounds for disambiguation data = dict() for k, om2 in fields.items(): print(k) # d = [ ds.search(variable=k).to_dataset_dict(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for ds in datastores ] try: d = { n: ds.search(variable=k) for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except ValueError: try: d = { n: ds.search(variable=k, frequency='1mon', variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: point.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: min.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: max.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: print(f'{k} failed') continue if om2 is None: # add reference model data, with variable name changed to match om3 d2 = {} elif model_name == "ACCESS-CM3": cm2_da = om2cat[[om2]].isel(scalar_axis=0, drop=True).rename({om2: k}) # drop dummy scalar_axis dim # relabel cj877 (cftime, model years) onto CM3's own datetime64 time axis, # matching elapsed time since each run's start (both are daily) _cm3t = d[exptname].time n = min(cm2_da.sizes["time"], _cm3t.sizes["time"]) cm2_da = cm2_da.isel(time=slice(None, n)).assign_coords(time=("time", _cm3t.isel(time=slice(None, n)).values)) d2 = {om2expt: cm2_da} else: # d[om2expt] = om2cat.search(variable=om2).to_dask().rename({om2: k}) d2 = {om2expt: om2cat.search(variable=om2, frequency=d[list(d.keys())[0]].attrs['intake_esm_attrs:frequency']).to_dask().rename({om2: k})} # if d: # data[k] = xr.concat(d, 'time') # else: # print(f'no data for {k}') # break data[k] = d2 | d # break if IAF: for vname, d in data.items(): for expt in d.keys(): try: d[expt] = d[expt].convert_calendar("proleptic_gregorian", use_cftime=True) except KeyError: pass # RYF spin-up runs use a synthetic calendar (e.g. starting ~1900s) unrelated to real # forcing dates, so their time axis does not overlap the IAF experiments at all. # Relabel onto the primary experiment's real time axis so the RYF run plots on the # same timescale as the IAF runs. Only applied to the RYF experiment. _ryf_expt = "MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c" for _vname, _d in data.items(): if _ryf_expt not in _d or exptname not in _d: continue _ref = _d[exptname].time _rds = _d[_ryf_expt] _n = min(_rds.sizes["time"], _ref.sizes["time"]) _d[_ryf_expt] = (_rds.isel(time=slice(None, _n)) .assign_coords(time=("time", _ref.isel(time=slice(None, _n)).values))) data

masso

soga

thetaoga

tosga

sosga

speed_max

mlotst_max

tos_max

tos_min

sos_max

sos_min

zos_max

zos_min

total_salt_Flux_Added

total_salt_Flux_In

total_salt_flux

net_fresh_water_global_adjustment

salt_flux_global_restoring_adjustment

total_wfo

total_evs

total_fsitherm

total_precip

total_prsn

total_lprec

total_ficeberg

total_friver

total_net_massout

total_net_massin

Out[16]:

{'masso': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'soga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'thetaoga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'tosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'sosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'speed_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:    (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:    (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time       (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh         (yh) float64 2kB -77.88 -77.63 -77.38 ... 88.87 89.32 89.77
    * xh         (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      speed_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'mlotst_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:     (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:     (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time        (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh          (yh) float64 2kB -77.88 -77.63 -77.38 ... 88.87 89.32 89.77
    * xh          (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      mlotst_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'tos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      tos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'tos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      tos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'sos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
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  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
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    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
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  Dimensions:  (time: 144, yh: 300, xh: 360)
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    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      sos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
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  Coordinates:
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    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
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      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
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      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
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  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
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  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
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    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
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    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      sos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      ...                                       ...
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      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
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  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      zos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'zos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
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  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
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    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      zos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
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  Dimensions:                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 167kB 1958-01-02 00:00:00 ... 2015-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
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  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
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      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                (time: 24106, scalar_axis: 1)
  Coordinates:
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    * scalar_axis            (scalar_axis) float64 8B 0.0
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  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 35kB 1958-01-02 00:00:00 ... 1970-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 35kB 1958-01-02 00:00:00 ... 1970-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_salt_Flux_In': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:             (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:             (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:             (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:             (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_salt_flux': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:          (time: 20819, scalar_axis: 1)
  Coordinates:
    * time             (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:          (time: 24106, scalar_axis: 1)
  Coordinates:
    * time             (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:          (time: 4383, scalar_axis: 1)
  Coordinates:
    * time             (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:          (time: 4383, scalar_axis: 1)
  Coordinates:
    * time             (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'net_fresh_water_global_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 167kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 193kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 292kB
  Dimensions:                            (time: 18250, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 146kB 1900-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'salt_flux_global_restoring_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 167kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 193kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:                                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 35kB 1958-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:                                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 35kB 1958-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_wfo': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_evs': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_fsitherm': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_precip': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_prsn': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_lprec': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_ficeberg': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_friver': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_net_massout': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time               (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time               (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:            (time: 4383, scalar_axis: 1)
  Coordinates:
    * time               (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 ...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:            (time: 4383, scalar_axis: 1)
  Coordinates:
    * time               (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 ...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_net_massin': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:           (time: 20819, scalar_axis: 1)
  Coordinates:
    * time              (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:           (time: 24106, scalar_axis: 1)
  Coordinates:
    * time              (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:           (time: 4383, scalar_axis: 1)
  Coordinates:
    * time              (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 0...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:           (time: 4383, scalar_axis: 1)
  Coordinates:
    * time              (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 0...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1}}

In [17]:

data.keys()

data.keys()

Out[17]:

dict_keys(['masso', 'soga', 'thetaoga', 'tosga', 'sosga', 'speed_max', 'mlotst_max', 'tos_max', 'tos_min', 'sos_max', 'sos_min', 'zos_max', 'zos_min', 'total_salt_Flux_Added', 'total_salt_Flux_In', 'total_salt_flux', 'net_fresh_water_global_adjustment', 'salt_flux_global_restoring_adjustment', 'total_wfo', 'total_evs', 'total_fsitherm', 'total_precip', 'total_prsn', 'total_lprec', 'total_ficeberg', 'total_friver', 'total_net_massout', 'total_net_massin'])

In [18]:

data

data

Out[18]:

{'masso': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'soga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'thetaoga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'tosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'sosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'speed_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:    (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:    (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time       (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh         (yh) float64 2kB -77.88 -77.63 -77.38 ... 88.87 89.32 89.77
    * xh         (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      speed_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'mlotst_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:     (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:     (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time        (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh          (yh) float64 2kB -77.88 -77.63 -77.38 ... 88.87 89.32 89.77
    * xh          (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      mlotst_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'tos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      tos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'tos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      tos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'sos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      sos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'sos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      sos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'zos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      zos_max  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'zos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 956MB
  Dimensions:  (time: 144, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 956MB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 62MB
  Dimensions:  (time: 144, yh: 300, xh: 360)
  Coordinates:
    * time     (time) object 1kB 1958-01-16 12:00:00 ... 1969-12-16 12:00:00
    * yh       (yh) float64 2kB -77.88 -77.63 -77.38 -77.13 ... 88.87 89.32 89.77
    * xh       (xh) float64 3kB -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  Data variables:
      zos_min  (time, yh, xh) float32 62MB dask.array<chunksize=(12, 300, 360), meta=np.ndarray>
  Attributes: (12/16)
      NumFilesInSet:                            1
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:360.yh:300},
 'total_salt_Flux_Added': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 167kB 1958-01-02 00:00:00 ... 2015-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 193kB 1958-01-02 00:00:00 ... 2024-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 35kB 1958-01-02 00:00:00 ... 1970-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 35kB 1958-01-02 00:00:00 ... 1970-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_salt_Flux_In': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:             (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:             (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:             (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:             (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_salt_flux': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:          (time: 20819, scalar_axis: 1)
  Coordinates:
    * time             (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:          (time: 24106, scalar_axis: 1)
  Coordinates:
    * time             (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:          (time: 4383, scalar_axis: 1)
  Coordinates:
    * time             (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:          (time: 4383, scalar_axis: 1)
  Coordinates:
    * time             (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'net_fresh_water_global_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 167kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 193kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 292kB
  Dimensions:                            (time: 18250, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 146kB 1900-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'salt_flux_global_restoring_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 167kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 193kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:                                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 35kB 1958-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:                                (time: 4383, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 35kB 1958-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_wfo': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_evs': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_fsitherm': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_precip': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_prsn': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_lprec': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:      (time: 4383, scalar_axis: 1)
  Coordinates:
    * time         (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_ficeberg': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:         (time: 4383, scalar_axis: 1)
  Coordinates:
    * time            (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_friver': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_100km_jra_ryf+wombatlite-1e74abf-11f9df5c': <xarray.Dataset> Size: 70kB
  Dimensions:       (time: 4383, scalar_axis: 1)
  Coordinates:
    * time          (time) object 35kB 1958-01-02 00:00:00 ... 1970-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 35kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1},
 'total_net_massout': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time               (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
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Plot timeseries¶

In [19]:

# set date range
# trange = slice(cftime.DatetimeNoLeap(1900, 1, 1, 0, 0, 0, 0),
#                cftime.DatetimeNoLeap(1960, 1, 1, 0, 0, 0, 0))
trange = slice(None, None)  # all available

# set date range # trange = slice(cftime.DatetimeNoLeap(1900, 1, 1, 0, 0, 0, 0), # cftime.DatetimeNoLeap(1960, 1, 1, 0, 0, 0, 0)) trange = slice(None, None) # all available

In [20]:

for k, d in data.items():
    print(k)
    fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png'
    # print(fname)
    if False: #os.path.isfile(fname):
        print(f'---- skipping existing file {fname}')
    else:
        plt.figure(figsize=(10,5))
        ax = plt.subplot(111)
        for n, ds in d.items():
            dat = ds[k].sel(time=trange)
            if dat.cell_methods.find('time: mean') >= 0:
                # calculate spatial average if needed
                if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y', 'Z'])
                elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y'])
            elif dat.cell_methods.find('time: max') >= 0:
                dat = dat.cf.max(dim=['longitude', 'latitude'])
            elif dat.cell_methods.find('time: min') >= 0:
                dat = dat.cf.min(dim=['longitude', 'latitude'])
            # dat = dat - dat.isel(time=0)
            dat.load()
            # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1:
            #     label = 'daily'
            # else:
            #     label = 'monthly mean' # possible BUG: plausible guess
            # p = dat.plot(label=' '.join([n, label]), linewidth=1)
            p = dat.plot(linewidth=.7)
            dat.cf.resample(time='1YE').mean('time').plot(
                color=p[-1].get_color(),
                linewidth=2,
                label=n
            )
            # dat.cf.rolling(time=12, center=True).mean('time').plot()
            # dat.cf.rolling(time='1YE', center=True).mean('time').plot()
        # NB: title from first item (OM3), but y axis label from last item (may be OM2)
        # plt.title(k+': '+list(d.values())[0][k].attrs['long_name'])
        plt.title(f'{k}: {dat.attrs["long_name"]}')
        plt.xlabel('')
        plt.autoscale(enable=True, axis='x', tight=True)
        plt.legend()
        # # Shrink current axis's height from the bottom
        # box = ax.get_position()
        # ax.set_position([box.x0, box.y0 + box.height * 0.4,
        #                  box.width, box.height * 0.6])
        # # Put a legend below current axis
        # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08))
        # # try:
        #     plt.savefig(fname, dpi=150)
        #     print(f'saved {fname}')
        # except FileNotFoundError:
        #     print(f'*** FileNotFoundError when saving {fname}')
        # break
    mkmd.savefig(plt.gcf(), "Timeseries", "ACCESS-OM3 global model timeseries. [GitHub issue: Global average annual mean time series](https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3)")

for k, d in data.items(): print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) # dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]}') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break mkmd.savefig(plt.gcf(), "Timeseries", "ACCESS-OM3 global model timeseries. [GitHub issue: Global average annual mean time series](https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3)")

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zos_max

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zos_min

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total_salt_Flux_In

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total_salt_flux

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net_fresh_water_global_adjustment

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total_evs

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total_fsitherm

/jobfs/181564813.gadi-pbs/ipykernel_279762/1704426435.py:8: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  plt.figure(figsize=(10,5))

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total_prsn

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total_lprec

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total_friver

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In [21]:

# just plot soga, omitting 25km-iaf-test-for-AK-expt-7df5ef4c
for k, d in data.items():
    if k != "soga":
        continue
    print(k)
    fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png'
    # print(fname)
    if False: #os.path.isfile(fname):
        print(f'---- skipping existing file {fname}')
    else:
        plt.figure(figsize=(10,5))
        ax = plt.subplot(111)
        for n, ds in d.items():
            if n == "25km-iaf-test-for-AK-expt-7df5ef4c":
                continue
            dat = ds[k].sel(time=trange)
            if dat.cell_methods.find('time: mean') >= 0:
                # calculate spatial average if needed
                if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y', 'Z'])
                elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y'])
            elif dat.cell_methods.find('time: max') >= 0:
                dat = dat.cf.max(dim=['longitude', 'latitude'])
            elif dat.cell_methods.find('time: min') >= 0:
                dat = dat.cf.min(dim=['longitude', 'latitude'])
            # dat = dat - dat.isel(time=0)
            dat.load()
            # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1:
            #     label = 'daily'
            # else:
            #     label = 'monthly mean' # possible BUG: plausible guess
            # p = dat.plot(label=' '.join([n, label]), linewidth=1)
            p = dat.plot(linewidth=.7)
            dat.cf.resample(time='1YE').mean('time').plot(
                color=p[-1].get_color(),
                linewidth=2,
                label=n
            )
            # dat.cf.rolling(time=12, center=True).mean('time').plot()
            # dat.cf.rolling(time='1YE', center=True).mean('time').plot()
        # NB: title from first item (OM3), but y axis label from last item (may be OM2)
        # plt.title(k+': '+list(d.values())[0][k].attrs['long_name'])
        plt.title(f'{k}: {dat.attrs["long_name"]}')
        plt.xlabel('')
        plt.autoscale(enable=True, axis='x', tight=True)
        plt.legend()
        # # Shrink current axis's height from the bottom
        # box = ax.get_position()
        # ax.set_position([box.x0, box.y0 + box.height * 0.4,
        #                  box.width, box.height * 0.6])
        # # Put a legend below current axis
        # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08))
        # # try:
        #     plt.savefig(fname, dpi=150)
        #     print(f'saved {fname}')
        # except FileNotFoundError:
        #     print(f'*** FileNotFoundError when saving {fname}')
        # break

# just plot soga, omitting 25km-iaf-test-for-AK-expt-7df5ef4c for k, d in data.items(): if k != "soga": continue print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): if n == "25km-iaf-test-for-AK-expt-7df5ef4c": continue dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) # dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]}') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break

soga

# same as above, except initial value is subtracted for k, d in data.items(): print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'-IC.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]} minus initial') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break

Water balance checks¶

https://github.com/ACCESS-NRI/access-om3-configs/issues/920

In [22]:

esm_name = get_exptname_from_path(esm_file)
esm_name

esm_name = get_exptname_from_path(esm_file) esm_name

Out[22]:

'MC_25km_era_iaf+wombatlite-test5-era-8a51ed1d'

In [23]:

masked_areacello = static['areacello'] + 0*data['tos_max'][esm_name].tos_max.isel(time=0)

masked_areacello = static['areacello'] + 0*data['tos_max'][esm_name].tos_max.isel(time=0)

In [24]:

masked_areacello.plot()

masked_areacello.plot()

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/distributed/client.py:3387: UserWarning: Sending large graph of size 12.68 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

Out[24]:

<matplotlib.collections.QuadMesh at 0x1546bb9b84a0>

In [25]:

total_ocean_area = masked_areacello.sum().load()

total_ocean_area = masked_areacello.sum().load()

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.08/lib/python3.12/site-packages/distributed/client.py:3387: UserWarning: Sending large graph of size 12.68 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

In [26]:

total_fsitherm = data['total_fsitherm'][esm_name]['total_fsitherm'].load()

total_fsitherm = data['total_fsitherm'][esm_name]['total_fsitherm'].load()

In [27]:

total_fsitherm.plot()

total_fsitherm.plot()

Out[27]:

[<matplotlib.lines.Line2D at 0x1546c44e6c00>]

In [28]:

try:
    net_fresh_water_global_adjustment = (data['net_fresh_water_global_adjustment'][esm_name]['net_fresh_water_global_adjustment'] * total_ocean_area).load()
    net_fresh_water_global_adjustment.plot()
    (net_fresh_water_global_adjustment - total_fsitherm).plot()
except KeyError:
    pass

try: net_fresh_water_global_adjustment = (data['net_fresh_water_global_adjustment'][esm_name]['net_fresh_water_global_adjustment'] * total_ocean_area).load() net_fresh_water_global_adjustment.plot() (net_fresh_water_global_adjustment - total_fsitherm).plot() except KeyError: pass