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/wfo_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/wfo/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/wfo_Omon_CNRM-CM5-2_piControl_r1i1p4.yaml |
| last updated | 2015-01-16 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 362, j: 292, time: 840, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 2.552e+04 2.555e+04
* 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>
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>
wfo (time, j, i) float32 dask.array<chunksize=(120, 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: dc2e77be-e3ea-4848-86c1-0e721f8e43f2
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2013-03-20T11:31:29Z
history: 2013-03-20T11:31:29Z 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
- 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]) - 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 - 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 - wfo(time, j, i)float32dask.array<chunksize=(120, 292, 362), meta=np.ndarray>
- standard_name :
- water_flux_into_sea_water
- long_name :
- Water Flux into Sea Water
- comment :
- computed as the water flux into the ocean divided by the area of the ocean portion of the grid cell. This is the sum of the next two variables in this table.
- units :
- kg m-2 s-1
- original_name :
- wfo
- original_units :
- kg/m2/s
- history :
- 2013-03-20T11:31:29Z altered by CMOR: Converted units from 'kg/m2/s' to 'kg m-2 s-1'.
- cell_methods :
- time: mean area: mean where sea
- cell_measures :
- area: areacello
- 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
Array Chunk Bytes 355.17 MB 50.74 MB Shape (840, 292, 362) (120, 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 :
- dc2e77be-e3ea-4848-86c1-0e721f8e43f2
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2013-03-20T11:31:29Z
- history :
- 2013-03-20T11:31:29Z 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