ACCESS-ESM1-5 output prepared for CMIP6

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mlotst_Omon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()

Metadata

title	ACCESS-ESM1-5 output prepared for CMIP6
location	/shared/cmip6/data/piControl/ocean/mon/Omon/mlotst/CSIRO.ACCESS-ESM1-5/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mlotst_Omon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn.yaml
last updated	2020-09-24

Dataset Contents

<xarray.Dataset>
Dimensions:             (bnds: 2, i: 360, j: 300, time: 10800, vertices: 4)
Coordinates:
  * time                (time) float64 15.5 45.0 74.5 ... 3.287e+05 3.287e+05
  * j                   (j) int32 0 1 2 3 4 5 6 ... 293 294 295 296 297 298 299
  * i                   (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359
    latitude            (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>
    longitude           (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds           (time, bnds) float64 dask.array<chunksize=(6000, 2), meta=np.ndarray>
    vertices_latitude   (time, j, i, vertices) float64 dask.array<chunksize=(6000, 300, 360, 4), meta=np.ndarray>
    vertices_longitude  (time, j, i, vertices) float64 dask.array<chunksize=(6000, 300, 360, 4), meta=np.ndarray>
    mlotst              (time, j, i) float32 dask.array<chunksize=(6000, 300, 360), meta=np.ndarray>
Attributes:
    Conventions:            CF-1.7 CMIP-6.2
    activity_id:            CMIP
    branch_method:          standard
    branch_time_in_child:   0.0
    branch_time_in_parent:  36524.0
    creation_date:          2019-11-12T22:41:56Z
    data_specs_version:     01.00.30
    experiment:             pre-industrial control
    experiment_id:          piControl
    external_variables:     areacello
    forcing_index:          1
    frequency:              mon
    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS...
    grid:                   native atmosphere N96 grid (145x192 latxlon)
    grid_label:             gn
    history:                2019-11-12T22:41:56Z ; CMOR rewrote data to be co...
    initialization_index:   1
    institution:            Commonwealth Scientific and Industrial Research O...
    institution_id:         CSIRO
    mip_era:                CMIP6
    nominal_resolution:     250 km
    notes:                  Exp: ESM-piControl; Local ID: PI-01; Variable: ml...
    parent_activity_id:     CMIP
    parent_experiment_id:   piControl-spinup
    parent_mip_era:         CMIP6
    parent_source_id:       ACCESS-ESM1-5
    parent_time_units:      days since 0001-01-01
    parent_variant_label:   r1i1p1f1
    physics_index:          1
    product:                model-output
    realization_index:      1
    realm:                  ocean
    run_variant:            forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...
    source:                 ACCESS-ESM1.5 (2019): 
aerosol: CLASSIC (v1.0)
...
    source_id:              ACCESS-ESM1-5
    source_type:            AOGCM
    sub_experiment:         none
    sub_experiment_id:      none
    table_id:               Omon
    table_info:             Creation Date:(30 April 2019) MD5:e14f55f257cceaf...
    title:                  ACCESS-ESM1-5 output prepared for CMIP6
    variable_id:            mlotst
    variant_label:          r1i1p1f1
    version:                v20191112
    cmor_version:           3.4.0
    tracking_id:            hdl:21.14100/82d07b5f-50e4-47ec-87c0-8edfbca89471
    license:                CMIP6 model data produced by CSIRO is licensed un...

xarray.Dataset

Dimensions:
- bnds: 2
- i: 360
- j: 300
- time: 10800
- vertices: 4

Coordinates: (5)

time
(time)
float64
15.5 45.0 ... 3.287e+05 3.287e+05
bounds :
time_bnds
units :
days since 101-01-01
calendar :
proleptic_gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 3.286415e+05,
       3.286720e+05, 3.287025e+05])
```
j
(j)
int32
0 1 2 3 4 5 ... 295 296 297 298 299
units :
1
long_name :
cell index along second dimension
```
array([  0,   1,   2, ..., 297, 298, 299], dtype=int32)
```
i
(i)
int32
0 1 2 3 4 5 ... 355 356 357 358 359
units :
1
long_name :
cell index along first dimension
```
array([  0,   1,   2, ..., 357, 358, 359], dtype=int32)
```

latitude

(j, i)

float64

dask.array<chunksize=(300, 360), meta=np.ndarray>

standard_name :: latitude
long_name :: latitude
units :: degrees_north
bounds :: vertices_latitude

	Array	Chunk
Bytes	864.00 kB	864.00 kB
Shape	(300, 360)	(300, 360)
Count	5 Tasks	1 Chunks
Type	float64	numpy.ndarray

longitude

(j, i)

float64

dask.array<chunksize=(300, 360), meta=np.ndarray>

standard_name :: longitude
long_name :: longitude
units :: degrees_east
bounds :: vertices_longitude

	Array	Chunk
Bytes	864.00 kB	864.00 kB
Shape	(300, 360)	(300, 360)
Count	5 Tasks	1 Chunks
Type	float64	numpy.ndarray

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(6000, 2), meta=np.ndarray>

	Array	Chunk
Bytes	172.80 kB	96.00 kB
Shape	(10800, 2)	(6000, 2)
Count	6 Tasks	2 Chunks
Type	float64	numpy.ndarray

vertices_latitude

(time, j, i, vertices)

float64

dask.array<chunksize=(6000, 300, 360, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	37.32 GB	20.74 GB
Shape	(10800, 300, 360, 4)	(6000, 300, 360, 4)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

vertices_longitude

(time, j, i, vertices)

float64

dask.array<chunksize=(6000, 300, 360, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	37.32 GB	20.74 GB
Shape	(10800, 300, 360, 4)	(6000, 300, 360, 4)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

mlotst

(time, j, i)

float32

dask.array<chunksize=(6000, 300, 360), meta=np.ndarray>

standard_name :: ocean_mixed_layer_thickness_defined_by_sigma_t
long_name :: Ocean Mixed Layer Thickness Defined by Sigma T
comment :: Sigma T is potential density referenced to ocean surface.
units :: m
cell_methods :: area: mean where sea time: mean
cell_measures :: area: areacello
history :: 2019-11-12T22:41:54Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).

	Array	Chunk
Bytes	4.67 GB	2.59 GB
Shape	(10800, 300, 360)	(6000, 300, 360)
Count	6 Tasks	2 Chunks
Type	float32	numpy.ndarray

Attributes: (47)
Conventions :
CF-1.7 CMIP-6.2
activity_id :
CMIP
branch_method :
standard
branch_time_in_child :
0.0
branch_time_in_parent :
36524.0
creation_date :
2019-11-12T22:41:56Z
data_specs_version :
01.00.30
experiment :
pre-industrial control
experiment_id :
piControl
external_variables :
areacello
forcing_index :
1
frequency :
mon
further_info_url :
https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.piControl.none.r1i1p1f1
grid :
native atmosphere N96 grid (145x192 latxlon)
grid_label :
gn
history :
2019-11-12T22:41:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
initialization_index :
1
institution :
Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia
institution_id :
CSIRO
mip_era :
CMIP6
nominal_resolution :
250 km
notes :
Exp: ESM-piControl; Local ID: PI-01; Variable: mlotst (['mld'])
parent_activity_id :
CMIP
parent_experiment_id :
piControl-spinup
parent_mip_era :
CMIP6
parent_source_id :
ACCESS-ESM1-5
parent_time_units :
days since 0001-01-01
parent_variant_label :
r1i1p1f1
physics_index :
1
product :
model-output
realization_index :
1
realm :
ocean
run_variant :
forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
source :
ACCESS-ESM1.5 (2019): aerosol: CLASSIC (v1.0) atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m) atmosChem: none land: CABLE2.4 landIce: none ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m) ocnBgchem: WOMBAT (same grid as ocean) seaIce: CICE4.1 (same grid as ocean)
source_id :
ACCESS-ESM1-5
source_type :
AOGCM
sub_experiment :
none
sub_experiment_id :
none
table_id :
Omon
table_info :
Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371
title :
ACCESS-ESM1-5 output prepared for CMIP6
variable_id :
mlotst
variant_label :
r1i1p1f1
version :
v20191112
cmor_version :
3.4.0
tracking_id :
hdl:21.14100/82d07b5f-50e4-47ec-87c0-8edfbca89471
license :
CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.