IPSL-CM5A-LR 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/hus_Amon_IPSL-CM5A-LR_historical_r5i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | IPSL-CM5A-LR model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/atmos/mon/Amon/hus/IPSL.IPSL-CM5A-LR/r5i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_IPSL-CM5A-LR_historical_r5i1p1.yaml |
| last updated | 2017-07-06 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 96, lon: 96, plev: 17, time: 1872)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.686e+04 5.689e+04 5.692e+04
* plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
* lat (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0
* lon (lon) float64 0.0 3.75 7.5 11.25 15.0 ... 345.0 348.8 352.5 356.2
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(1200, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
hus (time, plev, lat, lon) float32 dask.array<chunksize=(1200, 17, 96, 96), meta=np.ndarray>
Attributes:
institution: IPSL (Institut Pierre Simon Laplace, Paris, France)
institute_id: IPSL
experiment_id: historical
source: IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96...
model_id: IPSL-CM5A-LR
forcing: Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
branch_time: 2000.0
contact: ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Se...
comment: This 20th century simulation include natural and ...
references: Model documentation and further reference availab...
initialization_method: 1
physics_version: 1
tracking_id: a82fbad0-69aa-4c63-8ab0-380c3ec89b6e
product: output
experiment: historical
frequency: mon
creation_date: 2011-10-30T20:08:07Z
history: 2011-10-30T20:08:07Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (31 January 2011) 53b766a395ac41696af4...
title: IPSL-CM5A-LR model output prepared for CMIP5 hist...
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 5
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 96
- lon: 96
- plev: 17
- time: 1872
- time(time)float6415.5 45.0 ... 5.689e+04 5.692e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.68635e+04, 5.68940e+04, 5.69245e+04]) - 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)float64-90.0 -88.11 -86.21 ... 88.11 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -88.105263, -86.210526, -84.315788, -82.421051, -80.526314, -78.631577, -76.736839, -74.842102, -72.947365, -71.052635, -69.157898, -67.263161, -65.368423, -63.473682, -61.578949, -59.684212, -57.789474, -55.894737, -54. , -52.105263, -50.210526, -48.315788, -46.421051, -44.526318, -42.63158 , -40.736843, -38.842106, -36.947369, -35.052631, -33.157894, -31.263159, -29.368422, -27.473684, -25.578947, -23.68421 , -21.789474, -19.894737, -18. , -16.105263, -14.210526, -12.315789, -10.421053, -8.526316, -6.631579, -4.736842, -2.842105, -0.947368, 0.947368, 2.842105, 4.736842, 6.631579, 8.526316, 10.421053, 12.315789, 14.210526, 16.105263, 18. , 19.894737, 21.789474, 23.68421 , 25.578947, 27.473684, 29.368422, 31.263159, 33.157894, 35.052631, 36.947369, 38.842106, 40.736843, 42.63158 , 44.526318, 46.421051, 48.315788, 50.210526, 52.105263, 54. , 55.894737, 57.789474, 59.684212, 61.578949, 63.473682, 65.368423, 67.263161, 69.157898, 71.052635, 72.947365, 74.842102, 76.736839, 78.631577, 80.526314, 82.421051, 84.315788, 86.210526, 88.105263, 90. ]) - lon(lon)float640.0 3.75 7.5 ... 348.8 352.5 356.2
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 3.75, 7.5 , 11.25, 15. , 18.75, 22.5 , 26.25, 30. , 33.75, 37.5 , 41.25, 45. , 48.75, 52.5 , 56.25, 60. , 63.75, 67.5 , 71.25, 75. , 78.75, 82.5 , 86.25, 90. , 93.75, 97.5 , 101.25, 105. , 108.75, 112.5 , 116.25, 120. , 123.75, 127.5 , 131.25, 135. , 138.75, 142.5 , 146.25, 150. , 153.75, 157.5 , 161.25, 165. , 168.75, 172.5 , 176.25, 180. , 183.75, 187.5 , 191.25, 195. , 198.75, 202.5 , 206.25, 210. , 213.75, 217.5 , 221.25, 225. , 228.75, 232.5 , 236.25, 240. , 243.75, 247.5 , 251.25, 255. , 258.75, 262.5 , 266.25, 270. , 273.75, 277.5 , 281.25, 285. , 288.75, 292.5 , 296.25, 300. , 303.75, 307.5 , 311.25, 315. , 318.75, 322.5 , 326.25, 330. , 333.75, 337.5 , 341.25, 345. , 348.75, 352.5 , 356.25])
- time_bnds(time, bnds)float64dask.array<chunksize=(1200, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 19.20 kB Shape (1872, 2) (1200, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
Array Chunk Bytes 2.88 MB 1.84 MB Shape (1872, 96, 2) (1200, 96, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
Array Chunk Bytes 2.88 MB 1.84 MB Shape (1872, 96, 2) (1200, 96, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - hus(time, plev, lat, lon)float32dask.array<chunksize=(1200, 17, 96, 96), meta=np.ndarray>
- standard_name :
- specific_humidity
- long_name :
- Specific Humidity
- units :
- 1
- original_name :
- hus
- cell_methods :
- time: mean (interval: 30 minutes)
- cell_measures :
- area: areacella
- history :
- 2011-10-30T20:08:01Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2011-10-30T20:08:07Z altered by CMOR: Inverted axis: lat.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_IPSL-CM5A-LR_historical_r0i0p0.nc areacella: areacella_fx_IPSL-CM5A-LR_historical_r0i0p0.nc
Array Chunk Bytes 1.17 GB 752.03 MB Shape (1872, 17, 96, 96) (1200, 17, 96, 96) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- IPSL (Institut Pierre Simon Laplace, Paris, France)
- institute_id :
- IPSL
- experiment_id :
- historical
- source :
- IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96x95x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)
- model_id :
- IPSL-CM5A-LR
- forcing :
- Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 2000.0
- contact :
- ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Sebastien Denvil
- comment :
- This 20th century simulation include natural and anthropogenic forcings.
- references :
- Model documentation and further reference available here : http://icmc.ipsl.fr
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- a82fbad0-69aa-4c63-8ab0-380c3ec89b6e
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-10-30T20:08:07Z
- history :
- 2011-10-30T20:08:07Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5
- title :
- IPSL-CM5A-LR model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 5
- cmor_version :
- 2.7.1