GISS-E2-H 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/cli_Amon_GISS-E2-H_rcp85_r1i1p2.yaml")
ds=cat.netcdf.read()Metadata
| title | GISS-E2-H model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/cli/NASA-GISS.GISS-E2-H/r1i1p2 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cli_Amon_GISS-E2-H_rcp85_r1i1p2.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 ... 1.817e+04 1.82e+04 1.823e+04
* 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=(540, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(540, 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=(540, 29), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(540, 29), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(540, 90, 144), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(540, 29, 2), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(540, 29, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(540, 90, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(540, 144, 2), meta=np.ndarray>
cli (time, lev, lat, lon) float32 dask.array<chunksize=(540, 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-H-Eh137TcadRCP85a Atmosphere: GISS-E2; Oc...
model_id: GISS-E2-H
forcing: GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes or...
parent_experiment_id: historical
parent_experiment_rip: r1i1p2
branch_time: 2006.0
contact: Kenneth Lo (cdkkl@giss.nasa.gov)
references: http://data.giss.nasa.gov/modelE/ar5
initialization_method: 1
physics_version: 2
tracking_id: 73433607-f52d-4d2a-9906-dce222e04aed
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2012-08-20T19:21:30Z
history: 2012-08-20T19:21:30Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (31 January 2011) 2515019193f1c55327ce...
title: GISS-E2-H 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 ... 1.82e+04 1.823e+04
- bounds :
- time_bnds
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 1.81735e+04, 1.82040e+04, 1.82345e+04]) - 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=(540, 2), meta=np.ndarray>
Array Chunk Bytes 56.64 kB 9.60 kB Shape (3540, 2) (600, 2) Count 18 Tasks 6 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(540, 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 278.40 kB Shape (3540, 29, 2) (600, 29, 2) Count 24 Tasks 6 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=(540, 29), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 821.28 kB 139.20 kB Shape (3540, 29) (600, 29) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(540, 29), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 821.28 kB 139.20 kB Shape (3540, 29) (600, 29) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(540, 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 31.10 MB Shape (3540, 90, 144) (600, 90, 144) Count 18 Tasks 6 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(540, 29, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 1.64 MB 278.40 kB Shape (3540, 29, 2) (600, 29, 2) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(540, 29, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 1.64 MB 278.40 kB Shape (3540, 29, 2) (600, 29, 2) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(540, 90, 2), meta=np.ndarray>
Array Chunk Bytes 5.10 MB 864.00 kB Shape (3540, 90, 2) (600, 90, 2) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(540, 144, 2), meta=np.ndarray>
Array Chunk Bytes 8.16 MB 1.38 MB Shape (3540, 144, 2) (600, 144, 2) Count 24 Tasks 6 Chunks Type float64 numpy.ndarray - cli(time, lev, lat, lon)float32dask.array<chunksize=(540, 29, 90, 144), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_ice_in_air
- long_name :
- Mass Fraction of Cloud Ice
- comment :
- Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- cli
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- history :
- 2012-08-20T19:21:30Z 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-H_rcp85_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_rcp85_r0i0p0.nc
Array Chunk Bytes 5.32 GB 902.02 MB Shape (3540, 29, 90, 144) (600, 29, 90, 144) Count 18 Tasks 6 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-H-Eh137TcadRCP85a Atmosphere: GISS-E2; Ocean: H
- model_id :
- GISS-E2-H
- 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 :
- r1i1p2
- branch_time :
- 2006.0
- contact :
- Kenneth Lo (cdkkl@giss.nasa.gov)
- references :
- http://data.giss.nasa.gov/modelE/ar5
- initialization_method :
- 1
- physics_version :
- 2
- tracking_id :
- 73433607-f52d-4d2a-9906-dce222e04aed
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2012-08-20T19:21:30Z
- history :
- 2012-08-20T19:21:30Z 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-H model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.7