GISS-E2-R-CC 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/clw_Amon_GISS-E2-R-CC_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | GISS-E2-R-CC model output prepared for CMIP5 RCP8.5 |
location | /shared/cmip5/data/rcp85/atmos/mon/Amon/clw/NASA-GISS.GISS-E2-R-CC/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_GISS-E2-R-CC_rcp85_r1i1p1.yaml |
last updated | 2013-08-27 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 90, lev: 29, lon: 144, time: 1140) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 9.048e+03 9.079e+03 9.11e+03 * lev (lev) float64 0.75 0.73 0.71 0.69 0.67 ... 0.25 0.23 0.21 0.19 * lat (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0 * lon (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(240, 2), meta=np.ndarray> lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 29, 2), meta=np.ndarray> p0 (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0 a (time, lev) float64 dask.array<chunksize=(240, 29), meta=np.ndarray> b (time, lev) float64 dask.array<chunksize=(240, 29), meta=np.ndarray> ps (time, lat, lon) float32 dask.array<chunksize=(240, 90, 144), meta=np.ndarray> a_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 29, 2), meta=np.ndarray> b_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 29, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(240, 90, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(240, 144, 2), meta=np.ndarray> clw (time, lev, lat, lon) float32 dask.array<chunksize=(240, 29, 90, 144), meta=np.ndarray> Attributes: institution: NASA/GISS (Goddard Institute for Space Studies) N... institute_id: NASA-GISS experiment_id: rcp85 source: GISS-E2-R-CC-E4arobio_g8RCP85 Atmosphere: GISS-E2... model_id: GISS-E2-R-CC forcing: GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC... parent_experiment_id: historical parent_experiment_rip: r1i1p1 branch_time: 2006.0 contact: Kenneth Lo (cdkkl@giss.nasa.gov) references: http://data.giss.nasa.gov/modelE/ar5 initialization_method: 1 physics_version: 1 tracking_id: 9bfabd11-5708-4814-99ba-07460d116ba9 product: output experiment: RCP8.5 frequency: mon creation_date: 2013-08-08T12:33:18Z history: 2013-08-08T12:33:18Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (31 January 2011) 2515019193f1c55327ce... title: GISS-E2-R-CC model output prepared for CMIP5 RCP8.5 parent_experiment: historical modeling_realm: atmos realization: 1 cmor_version: 2.5.7
xarray.Dataset
- bnds: 2
- lat: 90
- lev: 29
- lon: 144
- time: 1140
- time(time)float6415.5 45.0 ... 9.079e+03 9.11e+03
- bounds :
- time_bnds
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15.5, 45. , 74.5, ..., 9048.5, 9079. , 9109.5])
- lev(lev)float640.75 0.73 0.71 ... 0.23 0.21 0.19
- bounds :
- lev_bnds
- units :
- 1
- axis :
- Z
- positive :
- down
- long_name :
- hybrid sigma pressure coordinate
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- formula :
- p = a*p0 + b*ps
- formula_terms :
- p0: p0 a: a b: b ps: ps
array([0.75, 0.73, 0.71, 0.69, 0.67, 0.65, 0.63, 0.61, 0.59, 0.57, 0.55, 0.53, 0.51, 0.49, 0.47, 0.45, 0.43, 0.41, 0.39, 0.37, 0.35, 0.33, 0.31, 0.29, 0.27, 0.25, 0.23, 0.21, 0.19])
- lat(lat)float64-89.0 -87.0 -85.0 ... 87.0 89.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67., -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43., -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19., -17., -15., -13., -11., -9., -7., -5., -3., -1., 1., 3., 5., 7., 9., 11., 13., 15., 17., 19., 21., 23., 25., 27., 29., 31., 33., 35., 37., 39., 41., 43., 45., 47., 49., 51., 53., 55., 57., 59., 61., 63., 65., 67., 69., 71., 73., 75., 77., 79., 81., 83., 85., 87., 89.])
- lon(lon)float641.25 3.75 6.25 ... 356.2 358.8
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 1.25, 3.75, 6.25, 8.75, 11.25, 13.75, 16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75, 56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25, 78.75, 81.25, 83.75, 86.25, 88.75, 91.25, 93.75, 96.25, 98.75, 101.25, 103.75, 106.25, 108.75, 111.25, 113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75, 136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25, 158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75, 181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25, 203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75, 226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25, 248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75, 271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25, 293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75, 316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25, 338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])
- time_bnds(time, bnds)float64dask.array<chunksize=(240, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 4.80 kB Shape (1140, 2) (300, 2) Count 12 Tasks 4 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 29, 2), meta=np.ndarray>
- formula :
- p = a*p0 + b*ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- units :
- 1
- formula_terms :
- p0: p0 a: a_bnds b: b_bnds ps: ps
Array Chunk Bytes 528.96 kB 139.20 kB Shape (1140, 29, 2) (300, 29, 2) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - p0(time)float32100000.0 100000.0 ... 100000.0
- long_name :
- vertical coordinate formula term: reference pressure
- units :
- Pa
array([100000., 100000., 100000., ..., 100000., 100000., 100000.], dtype=float32)
- a(time, lev)float64dask.array<chunksize=(240, 29), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 264.48 kB 69.60 kB Shape (1140, 29) (300, 29) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(240, 29), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 264.48 kB 69.60 kB Shape (1140, 29) (300, 29) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(240, 90, 144), meta=np.ndarray>
- standard_name :
- surface_air_pressure
- long_name :
- Surface Air Pressure
- comment :
- not, in general, the same as mean sea-level pressure
- units :
- Pa
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
Array Chunk Bytes 59.10 MB 15.55 MB Shape (1140, 90, 144) (300, 90, 144) Count 12 Tasks 4 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 29, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 528.96 kB 139.20 kB Shape (1140, 29, 2) (300, 29, 2) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 29, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 528.96 kB 139.20 kB Shape (1140, 29, 2) (300, 29, 2) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(240, 90, 2), meta=np.ndarray>
Array Chunk Bytes 1.64 MB 432.00 kB Shape (1140, 90, 2) (300, 90, 2) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(240, 144, 2), meta=np.ndarray>
Array Chunk Bytes 2.63 MB 691.20 kB Shape (1140, 144, 2) (300, 144, 2) Count 16 Tasks 4 Chunks Type float64 numpy.ndarray - clw(time, lev, lat, lon)float32dask.array<chunksize=(240, 29, 90, 144), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_liquid_water_in_air
- long_name :
- Mass Fraction of Cloud Liquid Water
- comment :
- Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- clw
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- history :
- 2013-08-08T12:33:18Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-R-CC_rcp85_r0i0p0.nc areacella: areacella_fx_GISS-E2-R-CC_rcp85_r0i0p0.nc
Array Chunk Bytes 1.71 GB 451.01 MB Shape (1140, 29, 90, 144) (300, 29, 90, 144) Count 12 Tasks 4 Chunks Type float32 numpy.ndarray
- institution :
- NASA/GISS (Goddard Institute for Space Studies) New York, NY
- institute_id :
- NASA-GISS
- experiment_id :
- rcp85
- source :
- GISS-E2-R-CC-E4arobio_g8RCP85 Atmosphere: GISS-E2; Ocean: R
- model_id :
- GISS-E2-R-CC
- forcing :
- GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC on snow - Nitrate aerosols)
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 2006.0
- contact :
- Kenneth Lo (cdkkl@giss.nasa.gov)
- references :
- http://data.giss.nasa.gov/modelE/ar5
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 9bfabd11-5708-4814-99ba-07460d116ba9
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2013-08-08T12:33:18Z
- history :
- 2013-08-08T12:33:18Z 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) 2515019193f1c55327ceb0119627a708
- title :
- GISS-E2-R-CC model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.7