CNRM-CM5-2 model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/so_Omon_CNRM-CM5-2_piControl_r1i1p4.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5-2 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/so/CNRM-CERFACS.CNRM-CM5-2/r1i1p4 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/so_Omon_CNRM-CM5-2_piControl_r1i1p4.yaml |
| last updated | 2015-01-16 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 362, j: 292, lev: 42, time: 840, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 2.552e+04 2.555e+04
* lev (lev) float64 5.022 15.08 25.16 ... 5.051e+03 5.35e+03
* j (j) int32 1 2 3 4 5 6 7 8 ... 285 286 287 288 289 290 291 292
* i (i) int32 1 2 3 4 5 6 7 8 ... 355 356 357 358 359 360 361 362
lat (j, i) float32 dask.array<chunksize=(292, 362), meta=np.ndarray>
lon (j, i) float32 dask.array<chunksize=(292, 362), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(120, 42, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
so (time, lev, j, i) float32 dask.array<chunksize=(120, 42, 292, 362), meta=np.ndarray>
Attributes:
institution: CNRM (Centre National de Recherches Meteorologiqu...
institute_id: CNRM-CERFACS
experiment_id: piControl
source: CNRM-CM5-2 2010 Atmosphere: ARPEGE-Climat (V5.2.3...
model_id: CNRM-CM5-2
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: r1i1p4
branch_time: 0.0
contact: contact.CMIP5@meteo.fr - METEO-FRANCE, CNRM/GMGEC...
comment: Soil layers depth scheme is specific for mrlsl an...
references: This is an updated version of the model used for ...
initialization_method: 1
physics_version: 4
tracking_id: 5fae9dfb-fe72-48d4-a57e-bcaabbdacfaf
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2013-03-20T10:50:48Z
history: 2013-03-20T10:50:48Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (26 July 2011) e26ed05e72b60ab734809dc...
title: CNRM-CM5-2 model output prepared for CMIP5 pre-in...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 362
- j: 292
- lev: 42
- time: 840
- vertices: 4
- time(time)float6415.5 45.0 ... 2.552e+04 2.555e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 2.54895e+04, 2.55200e+04, 2.55505e+04]) - lev(lev)float645.022 15.08 ... 5.051e+03 5.35e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.021590e+00, 1.507854e+01, 2.516046e+01, 3.527829e+01, 4.544776e+01, 5.569149e+01, 6.604198e+01, 7.654591e+01, 8.727029e+01, 9.831118e+01, 1.098062e+02, 1.219519e+02, 1.350285e+02, 1.494337e+02, 1.657285e+02, 1.846975e+02, 2.074254e+02, 2.353862e+02, 2.705341e+02, 3.153741e+02, 3.729655e+02, 4.468009e+02, 5.405022e+02, 6.573229e+02, 7.995496e+02, 9.679958e+02, 1.161806e+03, 1.378661e+03, 1.615291e+03, 1.868071e+03, 2.133517e+03, 2.408583e+03, 2.690780e+03, 2.978166e+03, 3.269278e+03, 3.563041e+03, 3.858676e+03, 4.155628e+03, 4.453502e+03, 4.752021e+03, 5.050990e+03, 5.350272e+03]) - j(j)int321 2 3 4 5 6 ... 288 289 290 291 292
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 290, 291, 292], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 358 359 360 361 362
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 360, 361, 362], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 422.82 kB 422.82 kB Shape (292, 362) (292, 362) Count 30 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 422.82 kB 422.82 kB Shape (292, 362) (292, 362) Count 30 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 13.44 kB 1.92 kB Shape (840, 2) (120, 2) Count 21 Tasks 7 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 42, 2), meta=np.ndarray>
Array Chunk Bytes 564.48 kB 80.64 kB Shape (840, 42, 2) (120, 42, 2) Count 28 Tasks 7 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 1.42 GB 202.95 MB Shape (840, 292, 362, 4) (120, 292, 362, 4) Count 28 Tasks 7 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 1.42 GB 202.95 MB Shape (840, 292, 362, 4) (120, 292, 362, 4) Count 28 Tasks 7 Chunks Type float32 numpy.ndarray - so(time, lev, j, i)float32dask.array<chunksize=(120, 42, 292, 362), meta=np.ndarray>
- standard_name :
- sea_water_salinity
- long_name :
- Sea Water Salinity
- units :
- psu
- original_name :
- so
- cell_methods :
- time: mean
- cell_measures :
- area: areacello volume: volcello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5-2_piControl_r0i0p0.nc areacello: areacello_fx_CNRM-CM5-2_piControl_r0i0p0.nc volcello: volcello_fx_CNRM-CM5-2_piControl_r0i0p0.nc
Array Chunk Bytes 14.92 GB 2.13 GB Shape (840, 42, 292, 362) (120, 42, 292, 362) Count 21 Tasks 7 Chunks Type float32 numpy.ndarray
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France) and CERFACS (Centre Europeen de Recherches et de Formation Avancee en Calcul Scientifique, Toulouse, France)
- institute_id :
- CNRM-CERFACS
- experiment_id :
- piControl
- source :
- CNRM-CM5-2 2010 Atmosphere: ARPEGE-Climat (V5.2.3i, TL127L31); Ocean: &
- model_id :
- CNRM-CM5-2
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- r1i1p4
- branch_time :
- 0.0
- contact :
- contact.CMIP5@meteo.fr - METEO-FRANCE, CNRM/GMGEC/ASTER, CNRS URA 1357, 42 Av. Coriolis F-31057 TOULOUSE CEDEX 1
- comment :
- Soil layers depth scheme is specific for mrlsl and tsl - see variable-level comments. . With this physics, the atmospheric model has 60 levels (instead of 31),and the stratospheric chemical scheme is activated
- references :
- This is an updated version of the model used for CMIP5 and described at http://www.cnrm.meteo.fr/cmip5 ; changes are : i) real salt and water fluxes between SeaIce and Ocean, ii) increased ice depth on permanent ice sheets to avoid complete melt under extreme global warming, iii) using a 2012 version of Szopa et al. prescribed aerosols and iv) solar forcing is no more the TIM-corrected one (i.e. values are around 1365 W/m**2) . A few variants of physics are used, please see the metadata field named comment. Comparing to physics #1 : physics #2 adds melt ponds; physics #3 uses 60 atmospheric levels instead of 31; physics #4 also, and adds a stratospheric chemical scheme ; physics #5 integrates biophysical coupling between phytoplankton and light penetration into the ocean as described in Lengaigne et al;, 2009
- initialization_method :
- 1
- physics_version :
- 4
- tracking_id :
- 5fae9dfb-fe72-48d4-a57e-bcaabbdacfaf
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2013-03-20T10:50:48Z
- history :
- 2013-03-20T10:50:48Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (26 July 2011) e26ed05e72b60ab734809dc2284668e2
- title :
- CNRM-CM5-2 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1