CMCC-CM2-SR5 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/thetao_Omon_CMCC-CM2-SR5_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | CMCC-CM2-SR5 output prepared for CMIP6 |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/CMCC-CM2-SR5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CMCC-CM2-SR5_piControl_r1i1p1f1_gn.yaml |
| last updated | 2020-09-29 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 292, j: 362, lev: 50, time: 6000, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.825e+05 1.825e+05
* lev (lev) float64 0.5126 1.621 2.858 ... 5.498e+03 5.904e+03
* i (i) int32 0 1 2 3 4 5 6 ... 285 286 287 288 289 290 291
* j (j) int32 0 1 2 3 4 5 6 ... 355 356 357 358 359 360 361
latitude (i, j) float64 dask.array<chunksize=(292, 362), meta=np.ndarray>
longitude (i, j) float64 dask.array<chunksize=(292, 362), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(240, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 50, 2), meta=np.ndarray>
vertices_latitude (time, i, j, vertices) float64 dask.array<chunksize=(240, 292, 362, 4), meta=np.ndarray>
vertices_longitude (time, i, j, vertices) float64 dask.array<chunksize=(240, 292, 362, 4), meta=np.ndarray>
thetao (time, lev, i, j) float32 dask.array<chunksize=(240, 50, 292, 362), 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: 0.0
comment: none
contact: T. Lovato
creation_date: 2020-06-09T20:54:57Z
data_specs_version: 01.00.31
experiment: pre-industrial control
experiment_id: piControl
external_variables: areacello volcello
forcing_index: 1
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.CMCC.CMCC-CM...
grid: native ocean curvilinear grid
grid_label: gn
history: 2020-06-09T20:54:57Z ;rewrote data to be consiste...
initialization_index: 1
institution: Fondazione Centro Euro-Mediterraneo sui Cambiamen...
institution_id: CMCC
mip_era: CMIP6
nominal_resolution: 100 km
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: CMCC-CM2-SR5
parent_time_units: days since 1850-01-01
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
references: none
run_variant: 1st realization
source: CMCC-CM2-SR5 (2016):
aerosol: MAM3
atmos: CAM5...
source_id: CMCC-CM2-SR5
source_type: AOGCM
sub_experiment: none
sub_experiment_id: none
table_id: Omon
table_info: Creation Date:(05 February 2020) MD5:6a248fd76c55...
title: CMCC-CM2-SR5 output prepared for CMIP6
variable_id: thetao
variant_label: r1i1p1f1
license: CMIP6 model data produced by CMCC is licensed und...
cmor_version: 3.5.0
tracking_id: hdl:21.14100/f0047f18-2591-46b3-802a-a69ab3639558xarray.Dataset
- bnds: 2
- i: 292
- j: 362
- lev: 50
- time: 6000
- vertices: 4
- time(time)float6415.5 45.0 ... 1.825e+05 1.825e+05
- bounds :
- time_bnds
- units :
- days since 1850-01-01
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.824235e+05, 1.824540e+05, 1.824845e+05]) - lev(lev)float640.5126 1.621 ... 5.904e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.126340e-01, 1.621015e+00, 2.858431e+00, 4.250513e+00, 5.827960e+00, 7.627532e+00, 9.693230e+00, 1.207770e+01, 1.484391e+01, 1.806713e+01, 2.183723e+01, 2.626152e+01, 3.146791e+01, 3.760874e+01, 4.486517e+01, 5.345229e+01, 6.362492e+01, 7.568428e+01, 8.998535e+01, 1.069451e+02, 1.270512e+02, 1.508713e+02, 1.790624e+02, 2.123794e+02, 2.516826e+02, 2.979431e+02, 3.522440e+02, 4.157769e+02, 4.898312e+02, 5.757748e+02, 6.750254e+02, 7.890108e+02, 9.191196e+02, 1.066644e+03, 1.232717e+03, 1.418255e+03, 1.623902e+03, 1.849991e+03, 2.096521e+03, 2.363159e+03, 2.649263e+03, 2.953915e+03, 3.275983e+03, 3.614175e+03, 3.967101e+03, 4.333334e+03, 4.711457e+03, 5.100101e+03, 5.497977e+03, 5.903893e+03]) - i(i)int320 1 2 3 4 5 ... 287 288 289 290 291
- units :
- 1
- long_name :
- first spatial index for variables stored on an unstructured grid
array([ 0, 1, 2, ..., 289, 290, 291], dtype=int32)
- j(j)int320 1 2 3 4 5 ... 357 358 359 360 361
- units :
- 1
- long_name :
- second spatial index for variables stored on an unstructured grid
array([ 0, 1, 2, ..., 359, 360, 361], dtype=int32)
- latitude(i, j)float64dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
- bounds :
- vertices_latitude
Array Chunk Bytes 845.63 kB 845.63 kB Shape (292, 362) (292, 362) Count 120 Tasks 1 Chunks Type float64 numpy.ndarray - longitude(i, j)float64dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
- bounds :
- vertices_longitude
Array Chunk Bytes 845.63 kB 845.63 kB Shape (292, 362) (292, 362) Count 120 Tasks 1 Chunks Type float64 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(240, 2), meta=np.ndarray>
Array Chunk Bytes 96.00 kB 3.84 kB Shape (6000, 2) (240, 2) Count 75 Tasks 25 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 50, 2), meta=np.ndarray>
Array Chunk Bytes 4.80 MB 192.00 kB Shape (6000, 50, 2) (240, 50, 2) Count 100 Tasks 25 Chunks Type float64 numpy.ndarray - vertices_latitude(time, i, j, vertices)float64dask.array<chunksize=(240, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 20.30 GB 811.81 MB Shape (6000, 292, 362, 4) (240, 292, 362, 4) Count 100 Tasks 25 Chunks Type float64 numpy.ndarray - vertices_longitude(time, i, j, vertices)float64dask.array<chunksize=(240, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 20.30 GB 811.81 MB Shape (6000, 292, 362, 4) (240, 292, 362, 4) Count 100 Tasks 25 Chunks Type float64 numpy.ndarray - thetao(time, lev, i, j)float32dask.array<chunksize=(240, 50, 292, 362), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- comment :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- units :
- degC
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello volume: volcello
Array Chunk Bytes 126.84 GB 5.07 GB Shape (6000, 50, 292, 362) (240, 50, 292, 362) Count 75 Tasks 25 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- activity_id :
- CMIP
- branch_method :
- standard
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 0.0
- comment :
- none
- contact :
- T. Lovato
- creation_date :
- 2020-06-09T20:54:57Z
- data_specs_version :
- 01.00.31
- experiment :
- pre-industrial control
- experiment_id :
- piControl
- external_variables :
- areacello volcello
- forcing_index :
- 1
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.CMCC.CMCC-CM2-SR5.piControl.none.r1i1p1f1
- grid :
- native ocean curvilinear grid
- grid_label :
- gn
- history :
- 2020-06-09T20:54:57Z ;rewrote data to be consistent with CMIP for variable thetao found in table Omon.; none
- initialization_index :
- 1
- institution :
- Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce 73100, Italy
- institution_id :
- CMCC
- mip_era :
- CMIP6
- nominal_resolution :
- 100 km
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- CMCC-CM2-SR5
- parent_time_units :
- days since 1850-01-01
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- references :
- none
- run_variant :
- 1st realization
- source :
- CMCC-CM2-SR5 (2016): aerosol: MAM3 atmos: CAM5.3 (1deg; 288 x 192 longitude/latitude; 30 levels; top at ~2 hPa) atmosChem: none land: CLM4.5 (BGC mode) landIce: none ocean: NEMO3.6 (ORCA1 tripolar primarly 1 deg lat/lon with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 50 vertical levels; top grid cell 0-1 m) ocnBgchem: none seaIce: CICE4.0
- source_id :
- CMCC-CM2-SR5
- source_type :
- AOGCM
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- table_info :
- Creation Date:(05 February 2020) MD5:6a248fd76c55aa6d6f7b3cc6866b5faf
- title :
- CMCC-CM2-SR5 output prepared for CMIP6
- variable_id :
- thetao
- variant_label :
- r1i1p1f1
- license :
- CMIP6 model data produced by CMCC 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) and at https:///pcmdi.llnl.gov/. 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.
- cmor_version :
- 3.5.0
- tracking_id :
- hdl:21.14100/f0047f18-2591-46b3-802a-a69ab3639558