CNRM-CM5 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/sit_OImon_CNRM-CM5_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/seaIce/mon/OImon/sit/CNRM-CERFACS.CNRM-CM5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sit_OImon_CNRM-CM5_piControl_r1i1p1.yaml |
| last updated | 2013-05-28 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 362, j: 292, time: 10200, vertices: 4)
Coordinates:
* time (time) float64 1.828e+04 1.831e+04 ... 3.287e+05 3.287e+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=(1800, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(1800, 292, 362, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(1800, 292, 362, 4), meta=np.ndarray>
sit (time, j, i) float32 dask.array<chunksize=(1800, 292, 362), meta=np.ndarray>
Attributes:
institution: CNRM (Centre National de Recherches Meteorologiqu...
institute_id: CNRM-CERFACS
experiment_id: piControl
source: CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
model_id: CNRM-CM5
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: r1ip
branch_time: 0.0
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: b5901478-abb5-4b9d-86bf-0c1bd0dd9e05
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2011-07-21T05:52:48Z
history: 2011-07-21T05:52:48Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table OImon (27 April 2011) f04ba250f3acd5b9e847c...
title: CNRM-CM5 model output prepared for CMIP5 pre-indu...
parent_experiment: N/A
modeling_realm: seaIce ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 362
- j: 292
- time: 10200
- vertices: 4
- time(time)float641.828e+04 1.831e+04 ... 3.287e+05
- bounds :
- time_bnds
- units :
- days since 1800-1-1 0:0:0.0
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 18277.5, 18307. , 18336.5, ..., 328641.5, 328672. , 328702.5])
- 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 20 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 20 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(1800, 2), meta=np.ndarray>
Array Chunk Bytes 163.20 kB 38.40 kB Shape (10200, 2) (2400, 2) Count 15 Tasks 5 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(1800, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 17.25 GB 4.06 GB Shape (10200, 292, 362, 4) (2400, 292, 362, 4) Count 20 Tasks 5 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(1800, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 17.25 GB 4.06 GB Shape (10200, 292, 362, 4) (2400, 292, 362, 4) Count 20 Tasks 5 Chunks Type float32 numpy.ndarray - sit(time, j, i)float32dask.array<chunksize=(1800, 292, 362), meta=np.ndarray>
- standard_name :
- sea_ice_thickness
- long_name :
- Sea Ice Thickness
- comment :
- the mean thickness of sea ice in the ocean portion of the grid cell (averaging over the entire ocean portion, including the ice-free fraction). Reported as 0.0 in regions free of sea ice.
- units :
- m
- original_name :
- sit
- cell_methods :
- time: mean area: mean where sea
- cell_measures :
- area: areacello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_CNRM-CM5_piControl_r0i0p0.nc areacello: areacello_fx_CNRM-CM5_piControl_r0i0p0.nc
Array Chunk Bytes 4.31 GB 1.01 GB Shape (10200, 292, 362) (2400, 292, 362) Count 15 Tasks 5 Chunks Type float32 numpy.ndarray
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,&
- institute_id :
- CNRM-CERFACS
- experiment_id :
- piControl
- source :
- CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: &
- model_id :
- CNRM-CM5
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- r1ip
- branch_time :
- 0.0
- 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 :
- b5901478-abb5-4b9d-86bf-0c1bd0dd9e05
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-07-21T05:52:48Z
- history :
- 2011-07-21T05:52:48Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table OImon (27 April 2011) f04ba250f3acd5b9e847c21d5752eb85
- title :
- CNRM-CM5 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- seaIce ocean
- realization :
- 1
- cmor_version :
- 2.7.1