GISS-E2-R 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_rcp85_r1i1p3.yaml")
ds=cat.netcdf.read()Metadata
| title | GISS-E2-R model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/clw/NASA-GISS.GISS-E2-R/r1i1p3 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_GISS-E2-R_rcp85_r1i1p3.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 90, lev: 29, lon: 144, time: 3540)
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-E134TcadiRCP85aF40oQ32 Atmosphere: GISS...
model_id: GISS-E2-R
forcing: GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes or...
parent_experiment_id: historical
parent_experiment_rip: r1i1p3
branch_time: 2006.0
contact: Kenneth Lo (cdkkl@giss.nasa.gov)
references: http://data.giss.nasa.gov/modelE/ar5
initialization_method: 1
physics_version: 3
tracking_id: 2ea72f6e-496d-41ea-b05a-d181c0de61c1
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2011-09-28T12:49:15Z
history: 2011-09-28T12:49:15Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (31 January 2011) 53b766a395ac41696af4...
title: GISS-E2-R model output prepared for CMIP5 RCP8.5
parent_experiment: historical
modeling_realm: atmos
realization: 1
cmor_version: 2.5.7xarray.Dataset
- bnds: 2
- lat: 90
- lev: 29
- lon: 144
- time: 3540
- 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 56.64 kB 4.80 kB Shape (3540, 2) (300, 2) Count 36 Tasks 12 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 1.64 MB 139.20 kB Shape (3540, 29, 2) (300, 29, 2) Count 48 Tasks 12 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 821.28 kB 69.60 kB Shape (3540, 29) (300, 29) Count 48 Tasks 12 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 821.28 kB 69.60 kB Shape (3540, 29) (300, 29) Count 48 Tasks 12 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 183.51 MB 15.55 MB Shape (3540, 90, 144) (300, 90, 144) Count 36 Tasks 12 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 1.64 MB 139.20 kB Shape (3540, 29, 2) (300, 29, 2) Count 48 Tasks 12 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 1.64 MB 139.20 kB Shape (3540, 29, 2) (300, 29, 2) Count 48 Tasks 12 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(240, 90, 2), meta=np.ndarray>
Array Chunk Bytes 5.10 MB 432.00 kB Shape (3540, 90, 2) (300, 90, 2) Count 48 Tasks 12 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(240, 144, 2), meta=np.ndarray>
Array Chunk Bytes 8.16 MB 691.20 kB Shape (3540, 144, 2) (300, 144, 2) Count 48 Tasks 12 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 :
- 2011-09-28T12:49:15Z 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_rcp85_r0i0p0.nc areacella: areacella_fx_GISS-E2-R_rcp85_r0i0p0.nc
Array Chunk Bytes 5.32 GB 451.01 MB Shape (3540, 29, 90, 144) (300, 29, 90, 144) Count 36 Tasks 12 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-E134TcadiRCP85aF40oQ32 Atmosphere: GISS-E2; Ocean: R
- model_id :
- GISS-E2-R
- forcing :
- GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols - interactive CH4)
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p3
- branch_time :
- 2006.0
- contact :
- Kenneth Lo (cdkkl@giss.nasa.gov)
- references :
- http://data.giss.nasa.gov/modelE/ar5
- initialization_method :
- 1
- physics_version :
- 3
- tracking_id :
- 2ea72f6e-496d-41ea-b05a-d181c0de61c1
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2011-09-28T12:49:15Z
- history :
- 2011-09-28T12:49:15Z 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 :
- GISS-E2-R model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.7