FGOALS-g2 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/mrsos_day_FGOALS-g2_historical_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | FGOALS-g2 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/land/day/day/mrsos/LASG-CESS.FGOALS-g2/r1i1p1 |
| tags | gridded,global,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mrsos_day_FGOALS-g2_historical_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 60, lon: 128, time: 17880)
Coordinates:
* time (time) float64 7.114e+05 7.114e+05 ... 7.293e+05 7.293e+05
* lat (lat) float64 -90.0 -83.87 -79.15 -75.17 ... 79.15 83.87 90.0
* lon (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2
depth float64 0.04528
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(365, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(365, 60, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(365, 128, 2), meta=np.ndarray>
depth_bnds (time, bnds) float64 dask.array<chunksize=(365, 2), meta=np.ndarray>
mrsos (time, lat, lon) float32 dask.array<chunksize=(365, 60, 128), meta=np.ndarray>
Attributes:
institution: IAP (Institute of Atmospheric Physics, Chinese Ac...
institute_id: LASG-CESS
experiment_id: historical
source: FGOALS-g2 2011 atmosphere: GAMIL (gamil2, 128x60L...
model_id: FGOALS-g2
forcing: GHG,Oz,SA,BC,Ds,OC,SS,Sl,Vl (GHG includes CO2,CH4...
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
branch_time: 160235.0
contact: Dr. Tianjun ZHOU, Email: zhoutj@lasg.iap.ac.cn
history: N/A 2012-01-03T13:53:25Z CMOR rewrote data to com...
comment: N/A
references: http://www.lasg.ac.cn/FGOALS/CMIP5
initialization_method: 1
physics_version: 1
tracking_id: cf1d0761-463c-40ce-b965-d18358b5ab99
product: output
experiment: historical
frequency: day
creation_date: 2012-01-03T13:53:25Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table day (26 July 2011) f21c16b785432e6bd3f72e80...
title: FGOALS-g2 model output prepared for CMIP5 historical
parent_experiment: pre-industrial control
modeling_realm: land
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 60
- lon: 128
- time: 17880
- time(time)float647.114e+05 7.114e+05 ... 7.293e+05
- bounds :
- time_bnds
- units :
- days since 0001-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([711385.5, 711386.5, 711387.5, ..., 729262.5, 729263.5, 729264.5])
- lat(lat)float64-90.0 -83.87 -79.15 ... 83.87 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -83.868546, -79.152817, -75.173576, -71.666023, -68.493942, -65.577606, -62.787354, -59.997021, -57.206631, -54.416199, -51.625732, -48.835239, -46.044727, -43.254196, -40.46365 , -37.673088, -34.882523, -32.091946, -29.301359, -26.510769, -23.720175, -20.929575, -18.138971, -15.348365, -12.557756, -9.767145, -6.976533, -4.185921, -1.395307, 1.395307, 4.185921, 6.976533, 9.767145, 12.557756, 15.348365, 18.138971, 20.929575, 23.720175, 26.510769, 29.301359, 32.091946, 34.882523, 37.673088, 40.46365 , 43.254196, 46.044727, 48.835239, 51.625732, 54.416199, 57.206631, 59.997021, 62.787354, 65.577606, 68.493942, 71.666023, 75.173576, 79.152817, 83.868546, 90. ]) - lon(lon)float640.0 2.812 5.625 ... 354.4 357.2
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 2.8125, 5.625 , 8.4375, 11.25 , 14.0625, 16.875 , 19.6875, 22.5 , 25.3125, 28.125 , 30.9375, 33.75 , 36.5625, 39.375 , 42.1875, 45. , 47.8125, 50.625 , 53.4375, 56.25 , 59.0625, 61.875 , 64.6875, 67.5 , 70.3125, 73.125 , 75.9375, 78.75 , 81.5625, 84.375 , 87.1875, 90. , 92.8125, 95.625 , 98.4375, 101.25 , 104.0625, 106.875 , 109.6875, 112.5 , 115.3125, 118.125 , 120.9375, 123.75 , 126.5625, 129.375 , 132.1875, 135. , 137.8125, 140.625 , 143.4375, 146.25 , 149.0625, 151.875 , 154.6875, 157.5 , 160.3125, 163.125 , 165.9375, 168.75 , 171.5625, 174.375 , 177.1875, 180. , 182.8125, 185.625 , 188.4375, 191.25 , 194.0625, 196.875 , 199.6875, 202.5 , 205.3125, 208.125 , 210.9375, 213.75 , 216.5625, 219.375 , 222.1875, 225. , 227.8125, 230.625 , 233.4375, 236.25 , 239.0625, 241.875 , 244.6875, 247.5 , 250.3125, 253.125 , 255.9375, 258.75 , 261.5625, 264.375 , 267.1875, 270. , 272.8125, 275.625 , 278.4375, 281.25 , 284.0625, 286.875 , 289.6875, 292.5 , 295.3125, 298.125 , 300.9375, 303.75 , 306.5625, 309.375 , 312.1875, 315. , 317.8125, 320.625 , 323.4375, 326.25 , 329.0625, 331.875 , 334.6875, 337.5 , 340.3125, 343.125 , 345.9375, 348.75 , 351.5625, 354.375 , 357.1875]) - depth()float640.04528
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- depth
- standard_name :
- depth
- bounds :
- depth_bnds
array(0.0452809)
- time_bnds(time, bnds)float64dask.array<chunksize=(365, 2), meta=np.ndarray>
Array Chunk Bytes 286.08 kB 5.84 kB Shape (17880, 2) (365, 2) Count 147 Tasks 49 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(365, 60, 2), meta=np.ndarray>
Array Chunk Bytes 17.16 MB 350.40 kB Shape (17880, 60, 2) (365, 60, 2) Count 196 Tasks 49 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(365, 128, 2), meta=np.ndarray>
Array Chunk Bytes 36.62 MB 747.52 kB Shape (17880, 128, 2) (365, 128, 2) Count 196 Tasks 49 Chunks Type float64 numpy.ndarray - depth_bnds(time, bnds)float64dask.array<chunksize=(365, 2), meta=np.ndarray>
Array Chunk Bytes 286.08 kB 5.84 kB Shape (17880, 2) (365, 2) Count 196 Tasks 49 Chunks Type float64 numpy.ndarray - mrsos(time, lat, lon)float32dask.array<chunksize=(365, 60, 128), meta=np.ndarray>
- standard_name :
- moisture_content_of_soil_layer
- long_name :
- Moisture in Upper Portion of Soil Column
- comment :
- the mass of water in all phases in a thin surface soil layer.
- units :
- kg m-2
- cell_methods :
- time: mean (interval: 20minutes) area: mean where land
- cell_measures :
- area: areacella
- history :
- 2012-01-03T13:53:25Z altered by CMOR: Treated scalar dimension: 'depth'. 2012-01-03T13:53:25Z altered by CMOR: replaced missing value flag (1e+36) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_land_fx_FGOALS-g2_historical_r0i0p0.nc areacella: areacella_fx_FGOALS-g2_historical_r0i0p0.nc
Array Chunk Bytes 549.27 MB 11.21 MB Shape (17880, 60, 128) (365, 60, 128) Count 147 Tasks 49 Chunks Type float32 numpy.ndarray
- institution :
- IAP (Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China) and THU (Tsinghua University)
- institute_id :
- LASG-CESS
- experiment_id :
- historical
- source :
- FGOALS-g2 2011 atmosphere: GAMIL (gamil2, 128x60L26); ocean: LICOM (licom2, 360x196L30); ice: CICE (cice4_lasg, 360x196L4); land: CLM (clm3, 128x60)
- model_id :
- FGOALS-g2
- forcing :
- GHG,Oz,SA,BC,Ds,OC,SS,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12. Aerosol also includes sulfate.)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 160235.0
- contact :
- Dr. Tianjun ZHOU, Email: zhoutj@lasg.iap.ac.cn
- history :
- N/A 2012-01-03T13:53:25Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- N/A
- references :
- http://www.lasg.ac.cn/FGOALS/CMIP5
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- cf1d0761-463c-40ce-b965-d18358b5ab99
- product :
- output
- experiment :
- historical
- frequency :
- day
- creation_date :
- 2012-01-03T13:53:25Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table day (26 July 2011) f21c16b785432e6bd3f72e80f2cade49
- title :
- FGOALS-g2 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- land
- realization :
- 1
- cmor_version :
- 2.7.1