CNRM-CM5 model output prepared for CMIP5 RCP8.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_CNRM-CM5_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5 model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/ocean/day/day/tos/CNRM-CERFACS.CNRM-CM5/r1i1p1 |
| tags | gridded,global,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_CNRM-CM5_rcp85_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 362, j: 292, time: 40176, vertices: 4)
Coordinates:
* time (time) float64 6.757e+04 6.757e+04 ... 1.077e+05 1.077e+05
* 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=(3652, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
tos (time, j, i) float32 dask.array<chunksize=(3652, 292, 362), meta=np.ndarray>
Attributes:
institution: CNRM (Centre National de Recherches Meteorologiqu...
institute_id: CNRM-CERFACS
experiment_id: rcp85
source: CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
model_id: CNRM-CM5
forcing: GHG, SA, Sl, BC, OC (Sl variation as a 13-year cy...
parent_experiment_id: historical
parent_experiment_rip: r1ip
branch_time: 56978.0
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: ded7e623-a5f6-4c9a-9733-6882823a89bb
product: output
experiment: RCP8.5
frequency: day
creation_date: 2012-01-11T16:30:49Z
history: 2012-01-11T16:30:49Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table day (26 July 2011) bab20a38048e324a2439233b...
title: CNRM-CM5 model output prepared for CMIP5 RCP8.5
parent_experiment: historical
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 362
- j: 292
- time: 40176
- vertices: 4
- time(time)float646.757e+04 6.757e+04 ... 1.077e+05
- bounds :
- time_bnds
- units :
- days since 2006-01-01 00:00:00
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 67570.5, 67571.5, 67572.5, ..., 107743.5, 107744.5, 107745.5])
- 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 50 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 50 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(3652, 2), meta=np.ndarray>
Array Chunk Bytes 642.82 kB 58.45 kB Shape (40176, 2) (3653, 2) Count 33 Tasks 11 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 67.95 GB 6.18 GB Shape (40176, 292, 362, 4) (3653, 292, 362, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 67.95 GB 6.18 GB Shape (40176, 292, 362, 4) (3653, 292, 362, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - tos(time, j, i)float32dask.array<chunksize=(3652, 292, 362), meta=np.ndarray>
- standard_name :
- surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- temperature of liquid ocean. Note that the correct standard_name for this variable is ""sea_surface_temperature"", not ""surface_temperature"", but this was discovered too late to correct. To maintain consistency across CMIP5 models, the wrong standard_name will continue to be used.
- units :
- K
- original_name :
- tos
- original_units :
- degC
- history :
- 2012-01-11T16:30:39Z altered by CMOR: Converted units from 'degC' to 'K'.
- cell_methods :
- time: mean
- cell_measures :
- area: areacello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5_rcp85_r0i0p0.nc areacello: areacello_fx_CNRM-CM5_rcp85_r0i0p0.nc
Array Chunk Bytes 16.99 GB 1.54 GB Shape (40176, 292, 362) (3653, 292, 362) Count 33 Tasks 11 Chunks Type float32 numpy.ndarray
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,&
- institute_id :
- CNRM-CERFACS
- experiment_id :
- rcp85
- source :
- CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: &
- model_id :
- CNRM-CM5
- forcing :
- GHG, SA, Sl, BC, OC (Sl variation as a 13-year cycle, according to CMIP5 spec)
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1ip
- branch_time :
- 56978.0
- 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 :
- ded7e623-a5f6-4c9a-9733-6882823a89bb
- product :
- output
- experiment :
- RCP8.5
- frequency :
- day
- creation_date :
- 2012-01-11T16:30:49Z
- history :
- 2012-01-11T16:30:49Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table day (26 July 2011) bab20a38048e324a2439233bf9705df2
- title :
- CNRM-CM5 model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1