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/hus_Amon_CNRM-CM5_rcp85_r4i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5 model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/hus/CNRM-CERFACS.CNRM-CM5/r4i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_CNRM-CM5_rcp85_r4i1p1.yaml |
| last updated | 2017-02-10 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 128, lon: 256, plev: 17, time: 1140)
Coordinates:
* time (time) float64 5.699e+04 5.702e+04 ... 9.163e+04 9.166e+04
* plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
* lat (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93
* lon (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(600, 128, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(600, 256, 2), meta=np.ndarray>
hus (time, plev, lat, lon) float32 dask.array<chunksize=(600, 17, 128, 256), 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: piControl
parent_experiment_rip: r4i1p1
branch_time: 73049.0
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: 29a1385c-0ead-49f9-94fc-472c460ba084
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2011-08-19T13:30:24Z
history: 2011-08-19T13:30:23Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f...
title: CNRM-CM5 model output prepared for CMIP5 RCP8.5
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 4
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 128
- lon: 256
- plev: 17
- time: 1140
- time(time)float645.699e+04 5.702e+04 ... 9.166e+04
- bounds :
- time_bnds
- units :
- days since 1850-1-1
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([56993.5, 57023. , 57052.5, ..., 91599.5, 91630. , 91660.5])
- plev(plev)float641e+05 9.25e+04 ... 2e+03 1e+03
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000.]) - lat(lat)float64-88.93 -87.54 ... 87.54 88.93
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-88.927734, -87.538704, -86.141472, -84.742386, -83.342598, -81.942467, -80.542145, -79.141708, -77.741196, -76.34063 , -74.940025, -73.539391, -72.138733, -70.73806 , -69.337372, -67.936676, -66.535965, -65.135254, -63.734531, -62.333801, -60.933071, -59.532337, -58.131599, -56.730858, -55.330112, -53.929367, -52.528618, -51.127865, -49.727116, -48.326363, -46.925606, -45.524849, -44.124092, -42.723335, -41.322575, -39.921818, -38.521057, -37.120293, -35.719532, -34.318771, -32.918007, -31.517244, -30.11648 , -28.715715, -27.314951, -25.914186, -24.51342 , -23.112656, -21.711889, -20.311123, -18.910357, -17.50959 , -16.108824, -14.708057, -13.30729 , -11.906524, -10.505756, -9.104989, -7.704221, -6.303454, -4.902687, -3.501919, -2.101151, -0.700384, 0.700384, 2.101151, 3.501919, 4.902687, 6.303454, 7.704221, 9.104989, 10.505756, 11.906524, 13.30729 , 14.708057, 16.108824, 17.50959 , 18.910357, 20.311123, 21.711889, 23.112656, 24.51342 , 25.914186, 27.314951, 28.715715, 30.11648 , 31.517244, 32.918007, 34.318771, 35.719532, 37.120293, 38.521057, 39.921818, 41.322575, 42.723335, 44.124092, 45.524849, 46.925606, 48.326363, 49.727116, 51.127865, 52.528618, 53.929367, 55.330112, 56.730858, 58.131599, 59.532337, 60.933071, 62.333801, 63.734531, 65.135254, 66.535965, 67.936676, 69.337372, 70.73806 , 72.138733, 73.539391, 74.940025, 76.34063 , 77.741196, 79.141708, 80.542145, 81.942467, 83.342598, 84.742386, 86.141472, 87.538704, 88.927734]) - lon(lon)float640.0 1.406 2.812 ... 357.2 358.6
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.40625, 2.8125 , ..., 355.78125, 357.1875 , 358.59375])
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 9.60 kB Shape (1140, 2) (600, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 128, 2), meta=np.ndarray>
Array Chunk Bytes 2.33 MB 1.23 MB Shape (1140, 128, 2) (600, 128, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 256, 2), meta=np.ndarray>
Array Chunk Bytes 4.67 MB 2.46 MB Shape (1140, 256, 2) (600, 256, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - hus(time, plev, lat, lon)float32dask.array<chunksize=(600, 17, 128, 256), meta=np.ndarray>
- standard_name :
- specific_humidity
- long_name :
- Specific Humidity
- units :
- 1
- original_name :
- hus
- cell_methods :
- time: mean (interval: 6 hours)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CNRM-CM5_rcp85_r0i0p0.nc areacella: areacella_fx_CNRM-CM5_rcp85_r0i0p0.nc
Array Chunk Bytes 2.54 GB 1.34 GB Shape (1140, 17, 128, 256) (600, 17, 128, 256) Count 6 Tasks 2 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 :
- rcp85
- source :
- CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: NEMO (nemo3.3.v10.6.6P, ORCA1degL42); Sea Ice: GELATO (V5.30); River Routing: TRIP (v1); Land: SURFEX (v5.1.c); Coupler : OASIS 3
- model_id :
- CNRM-CM5
- forcing :
- GHG, SA, Sl, BC, OC (Sl variation as a 13-year cycle, according to CMIP5 spec)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r4i1p1
- branch_time :
- 73049.0
- 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 /for decadal predictions : contact.CMIP5@cerfacs.fr - CERFACS, Climate Modelling And Global Change, URA CERFACS/CNRS No1875, 42 Av. Coriolis F-31057 TOULOUSE CEDEX 1
- comment :
- Soil layers depth scheme is specific for mrlsl and tsl - see variable-level comments. Atmosphere vertical hybrid coordinate : a_bnds and b_bnds arrays are correct, but a and b values provided are mid-sum of a_bnds and b_bnds, which is a poor approximation compared to the hydrostatic approximation actually used in the model.
- references :
- See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 29a1385c-0ead-49f9-94fc-472c460ba084
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2011-08-19T13:30:24Z
- history :
- 2011-08-19T13:30:23Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f5dc79b7a1
- title :
- CNRM-CM5 model output prepared for CMIP5 RCP8.5
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 4
- cmor_version :
- 2.7.1