CNRM-CM5 model output prepared for CMIP5 historical
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauvo_Omon_CNRM-CM5_historical_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/ocean/mon/Omon/tauvo/CNRM-CERFACS.CNRM-CM5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauvo_Omon_CNRM-CM5_historical_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 362, j: 292, time: 1872, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.307e+04 1.31e+04 1.313e+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>
tauvo (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: historical
source: CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
model_id: CNRM-CM5
forcing: GHG, SA, Sl, Vl, BC, OC
parent_experiment_id: piControl
parent_experiment_rip: r1ip
branch_time: 146097.0
contact: for all but decadal predictions : contact.CMIP5@m...
comment: Soil layers depth scheme is specific for mrlsl an...
references: See http://www.cnrm.meteo.fr/cmip5 - Follow model...
initialization_method: 1
physics_version: 1
tracking_id: ef10fd73-6660-4697-8c11-ef01141b4575
product: output
experiment: historical
frequency: mon
creation_date: 2011-10-07T05:17:27Z
history: 2011-10-07T05:17:27Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
title: CNRM-CM5 model output prepared for CMIP5 historical
parent_experiment: pre-industrial control
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 362
- j: 292
- time: 1872
- vertices: 4
- time(time)float6415.5 45.0 ... 1.31e+04 1.313e+04
- bounds :
- time_bnds
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15.5, 45. , 74.5, ..., 13072.5, 13103. , 13133.5])
- 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 75 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 75 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 1.92 kB Shape (1872, 2) (120, 2) Count 48 Tasks 16 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 3.17 GB 202.95 MB Shape (1872, 292, 362, 4) (120, 292, 362, 4) Count 64 Tasks 16 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 3.17 GB 202.95 MB Shape (1872, 292, 362, 4) (120, 292, 362, 4) Count 64 Tasks 16 Chunks Type float32 numpy.ndarray - tauvo(time, j, i)float32dask.array<chunksize=(120, 292, 362), meta=np.ndarray>
- standard_name :
- surface_downward_y_stress
- long_name :
- Surface Downward Y Stress
- comment :
- This is the stress on the liquid ocean from overlying atmosphere, sea ice, ice shelf, etc.
- units :
- N m-2
- original_name :
- tauvo
- original_units :
- N/m2
- history :
- 2011-10-07T05:17:26Z altered by CMOR: Converted units from 'N/m2' to 'N m-2'.
- cell_methods :
- time: mean area: mean where sea
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5_historical_r0i0p0.nc
Array Chunk Bytes 791.51 MB 50.74 MB Shape (1872, 292, 362) (120, 292, 362) Count 48 Tasks 16 Chunks Type float32 numpy.ndarray
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,&
- institute_id :
- CNRM-CERFACS
- experiment_id :
- historical
- source :
- CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: &
- model_id :
- CNRM-CM5
- forcing :
- GHG, SA, Sl, Vl, BC, OC
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1ip
- branch_time :
- 146097.0
- contact :
- for all but decadal predictions : 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. &
- references :
- See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- ef10fd73-6660-4697-8c11-ef01141b4575
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-10-07T05:17:27Z
- history :
- 2011-10-07T05:17:27Z 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) 25bb94a0408beca44c0f5b601258a94e
- title :
- CNRM-CM5 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1