CNRM-ESM2-1 model output prepared for CMIP6 / CMIP piControl
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_CNRM-ESM2-1_piControl_r1i1p1f2_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-ESM2-1 model output prepared for CMIP6 / CMIP piControl |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/CNRM-CERFACS.CNRM-ESM2-1/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CNRM-ESM2-1_piControl_r1i1p1f2_gn.yaml |
| last updated | 2020-10-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (axis_nbounds: 2, lev: 75, nvertex: 4, time: 6000, x: 362, y: 294)
Coordinates:
lat (y, x) float64 dask.array<chunksize=(294, 362), meta=np.ndarray>
lon (y, x) float64 dask.array<chunksize=(294, 362), meta=np.ndarray>
* lev (lev) float64 0.5058 1.556 2.668 ... 5.698e+03 5.902e+03
* time (time) float64 15.5 45.0 74.5 ... 1.825e+05 1.826e+05 1.826e+05
Dimensions without coordinates: axis_nbounds, nvertex, x, y
Data variables:
bounds_lon (time, y, x, nvertex) float64 dask.array<chunksize=(600, 294, 362, 4), meta=np.ndarray>
bounds_lat (time, y, x, nvertex) float64 dask.array<chunksize=(600, 294, 362, 4), meta=np.ndarray>
lev_bounds (time, lev, axis_nbounds) float64 dask.array<chunksize=(600, 75, 2), meta=np.ndarray>
time_bounds (time, axis_nbounds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
thetao (time, lev, y, x) float32 dask.array<chunksize=(600, 75, 294, 362), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
creation_date: 2018-04-23T09:02:27Z
description: DECK: control
title: CNRM-ESM2-1 model output prepared for CMIP6 / CMI...
activity_id: CMIP
contact: contact.cmip@meteo.fr
data_specs_version: 01.00.21
dr2xml_version: 1.1
experiment_id: piControl
experiment: pre-industrial control
external_variables: areacello volcello
forcing_index: 2
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.CNRM-CERFACS...
grid: native ocean tri-polar grid with 105 k ocean cells
grid_label: gn
nominal_resolution: 100 km
initialization_index: 1
institution_id: CNRM-CERFACS
institution: CNRM (Centre National de Recherches Meteorologiqu...
license: CMIP6 model data produced by CNRM-CERFACS is lice...
mip_era: CMIP6
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_activity_id: CMIP
parent_source_id: CNRM-ESM2-1
parent_time_units: days since 1850-01-01 00:00:00
parent_variant_label: r1i1p1f2
branch_method: standard
branch_time_in_parent: 36524.0
branch_time_in_child: 0.0
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
references: http://www.umr-cnrm.fr/cmip6/references
source: CNRM-ESM2-1 (2017): aerosol: TACTIC_v2 atmos: Ar...
source_id: CNRM-ESM2-1
source_type: AOGCM BGC AER CHEM
sub_experiment_id: none
sub_experiment: none
table_id: Omon
variable_id: thetao
variant_info: . Information provided by this attribute may in s...
variant_label: r1i1p1f2
EXPID: CNRM-ESM2-1_piControl_r1i1p1f2
CMIP6_CV_version: cv=6.2.3.0-7-g2019642
dr2xml_md5sum: 87374385b726e2a5f1e17b33af88ce8c
xios_commit: 1442-shuffle
nemo_gelato_commit: 49095b3accd5d4c_6524fe19b00467a
arpege_minor_version: 6.3.1
history: none
tracking_id: hdl:21.14100/bf85edb9-34f3-4e2c-b8eb-deeb3af97c8dxarray.Dataset
- axis_nbounds: 2
- lev: 75
- nvertex: 4
- time: 6000
- x: 362
- y: 294
- lat(y, x)float64dask.array<chunksize=(294, 362), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- Latitude
- units :
- degrees_north
- bounds :
- bounds_lat
Array Chunk Bytes 851.42 kB 851.42 kB Shape (294, 362) (294, 362) Count 45 Tasks 1 Chunks Type float64 numpy.ndarray - lon(y, x)float64dask.array<chunksize=(294, 362), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- Longitude
- units :
- degrees_east
- bounds :
- bounds_lon
Array Chunk Bytes 851.42 kB 851.42 kB Shape (294, 362) (294, 362) Count 45 Tasks 1 Chunks Type float64 numpy.ndarray - lev(lev)float640.5058 1.556 ... 5.902e+03
- name :
- lev
- long_name :
- Vertical T levels
- units :
- m
- positive :
- down
- bounds :
- lev_bounds
array([5.057600e-01, 1.555855e+00, 2.667682e+00, 3.856280e+00, 5.140361e+00, 6.543034e+00, 8.092518e+00, 9.822750e+00, 1.177368e+01, 1.399104e+01, 1.652532e+01, 1.942980e+01, 2.275762e+01, 2.655830e+01, 3.087456e+01, 3.574020e+01, 4.118002e+01, 4.721189e+01, 5.385064e+01, 6.111284e+01, 6.902168e+01, 7.761116e+01, 8.692943e+01, 9.704131e+01, 1.080303e+02, 1.200000e+02, 1.330758e+02, 1.474062e+02, 1.631645e+02, 1.805499e+02, 1.997900e+02, 2.211412e+02, 2.448906e+02, 2.713564e+02, 3.008875e+02, 3.338628e+02, 3.706885e+02, 4.117938e+02, 4.576256e+02, 5.086399e+02, 5.652923e+02, 6.280260e+02, 6.972586e+02, 7.733683e+02, 8.566789e+02, 9.474479e+02, 1.045854e+03, 1.151991e+03, 1.265861e+03, 1.387377e+03, 1.516364e+03, 1.652568e+03, 1.795671e+03, 1.945295e+03, 2.101027e+03, 2.262422e+03, 2.429025e+03, 2.600380e+03, 2.776039e+03, 2.955570e+03, 3.138565e+03, 3.324641e+03, 3.513446e+03, 3.704657e+03, 3.897982e+03, 4.093159e+03, 4.289952e+03, 4.488155e+03, 4.687581e+03, 4.888070e+03, 5.089479e+03, 5.291683e+03, 5.494575e+03, 5.698061e+03, 5.902058e+03]) - time(time)float6415.5 45.0 ... 1.826e+05 1.826e+05
- axis :
- T
- standard_name :
- time
- long_name :
- Time axis
- calendar :
- gregorian
- units :
- days since 1850-01-01 00:00:00
- time_origin :
- 1850-01-01 00:00:00
- bounds :
- time_bounds
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.825445e+05, 1.825750e+05, 1.826055e+05])
- bounds_lon(time, y, x, nvertex)float64dask.array<chunksize=(600, 294, 362, 4), meta=np.ndarray>
Array Chunk Bytes 20.43 GB 2.04 GB Shape (6000, 294, 362, 4) (600, 294, 362, 4) Count 40 Tasks 10 Chunks Type float64 numpy.ndarray - bounds_lat(time, y, x, nvertex)float64dask.array<chunksize=(600, 294, 362, 4), meta=np.ndarray>
Array Chunk Bytes 20.43 GB 2.04 GB Shape (6000, 294, 362, 4) (600, 294, 362, 4) Count 40 Tasks 10 Chunks Type float64 numpy.ndarray - lev_bounds(time, lev, axis_nbounds)float64dask.array<chunksize=(600, 75, 2), meta=np.ndarray>
- units :
- m
Array Chunk Bytes 7.20 MB 720.00 kB Shape (6000, 75, 2) (600, 75, 2) Count 40 Tasks 10 Chunks Type float64 numpy.ndarray - time_bounds(time, axis_nbounds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 96.00 kB 9.60 kB Shape (6000, 2) (600, 2) Count 30 Tasks 10 Chunks Type float64 numpy.ndarray - thetao(time, lev, y, x)float32dask.array<chunksize=(600, 75, 294, 362), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- units :
- degC
- online_operation :
- average
- cell_methods :
- area: mean where sea time: mean
- interval_operation :
- 1800 s
- interval_write :
- 1 month
- description :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- history :
- none
- cell_measures :
- area: areacello volume: volcello
Array Chunk Bytes 191.57 GB 19.16 GB Shape (6000, 75, 294, 362) (600, 75, 294, 362) Count 30 Tasks 10 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- creation_date :
- 2018-04-23T09:02:27Z
- description :
- DECK: control
- title :
- CNRM-ESM2-1 model output prepared for CMIP6 / CMIP piControl
- activity_id :
- CMIP
- contact :
- contact.cmip@meteo.fr
- data_specs_version :
- 01.00.21
- dr2xml_version :
- 1.1
- experiment_id :
- piControl
- experiment :
- pre-industrial control
- external_variables :
- areacello volcello
- forcing_index :
- 2
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.CNRM-CERFACS.CNRM-ESM2-1.piControl.none.r1i1p1f2
- grid :
- native ocean tri-polar grid with 105 k ocean cells
- grid_label :
- gn
- nominal_resolution :
- 100 km
- initialization_index :
- 1
- institution_id :
- CNRM-CERFACS
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France)
- license :
- CMIP6 model data produced by CNRM-CERFACS is licensed under a Creative Commons Attribution-NonCommercial-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 http://www.umr-cnrm.fr/cmip6/. 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.
- mip_era :
- CMIP6
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_activity_id :
- CMIP
- parent_source_id :
- CNRM-ESM2-1
- parent_time_units :
- days since 1850-01-01 00:00:00
- parent_variant_label :
- r1i1p1f2
- branch_method :
- standard
- branch_time_in_parent :
- 36524.0
- branch_time_in_child :
- 0.0
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- references :
- http://www.umr-cnrm.fr/cmip6/references
- source :
- CNRM-ESM2-1 (2017): aerosol: TACTIC_v2 atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km) atmosChem: REPROBUS-C_v2 land: Surfex 8.0c ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m) ocnBgchem: Pisces 2.s seaIce: Gelato 6.1
- source_id :
- CNRM-ESM2-1
- source_type :
- AOGCM BGC AER CHEM
- sub_experiment_id :
- none
- sub_experiment :
- none
- table_id :
- Omon
- variable_id :
- thetao
- variant_info :
- . Information provided by this attribute may in some cases be flawed. Users can find more comprehensive and up-to-date documentation via the further_info_url global attribute.
- variant_label :
- r1i1p1f2
- EXPID :
- CNRM-ESM2-1_piControl_r1i1p1f2
- CMIP6_CV_version :
- cv=6.2.3.0-7-g2019642
- dr2xml_md5sum :
- 87374385b726e2a5f1e17b33af88ce8c
- xios_commit :
- 1442-shuffle
- nemo_gelato_commit :
- 49095b3accd5d4c_6524fe19b00467a
- arpege_minor_version :
- 6.3.1
- history :
- none
- tracking_id :
- hdl:21.14100/bf85edb9-34f3-4e2c-b8eb-deeb3af97c8d