NorESM1-ME 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/rsus_Amon_NorESM1-ME_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | NorESM1-ME model output prepared for CMIP5 RCP8.5 |
location | /shared/cmip5/data/rcp85/atmos/mon/Amon/rsus/NCC.NorESM1-ME/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rsus_Amon_NorESM1-ME_rcp85_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 142, lon: 144, time: 1140) Coordinates: * lat (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 88.11 90.0 90.0 * time (time) float64 15.5 45.0 74.5 ... 2.036e+04 2.039e+04 2.042e+04 * lon (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(468, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(468, 142, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(468, 144, 2), meta=np.ndarray> rsus (time, lat, lon) float32 dask.array<chunksize=(468, 142, 144), meta=np.ndarray> Attributes: institution: Norwegian Climate Centre institute_id: NCC experiment_id: rcp85 source: NorESM1-ME 2011 atmosphere: CAM-Oslo (CAM4-Oslo-... model_id: NorESM1-ME forcing: GHG, SA, Oz, Sl, BC, OC parent_experiment_id: historical parent_experiment_rip: r1i1p1 branch_time: 56940.0 contact: Please send any requests or bug reports to noresm... initialization_method: 1 physics_version: 1 tracking_id: ac3f092f-f034-4e34-95c8-d48e3784fd42 product: output experiment: RCP8.5 frequency: mon creation_date: 2012-06-13T10:29:11Z history: 2012-06-13T10:29:11Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (01 February 2012) 81f919710c21dca8a17... title: NorESM1-ME model output prepared for CMIP5 RCP8.5 parent_experiment: historical modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 142
- lon: 144
- time: 1140
- lat(lat)float64-90.0 -88.11 -86.21 ... 90.0 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316, -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895, -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474, -55.894737, -54. , -52.105263, -50.210526, -48.315789, -46.421053, -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632, -33.157895, -31.263158, -31.263158, -29.368421, -27.473684, -27.473684, -25.578947, -23.684211, -21.789474, -21.789474, -19.894737, -19.894737, -18. , -18. , -16.105263, -14.210526, -14.210526, -12.315789, -12.315789, -10.421053, -10.421053, -8.526316, -8.526316, -6.631579, -6.631579, -4.736842, -4.736842, -2.842105, -2.842105, -0.947368, -0.947368, 0.947368, 0.947368, 2.842105, 2.842105, 4.736842, 4.736842, 6.631579, 6.631579, 8.526316, 8.526316, 10.421053, 10.421053, 12.315789, 14.210526, 14.210526, 16.105263, 16.105263, 18. , 18. , 19.894737, 19.894737, 21.789474, 23.684211, 23.684211, 25.578947, 25.578947, 27.473684, 27.473684, 29.368421, 29.368421, 31.263158, 33.157895, 35.052632, 35.052632, 36.947368, 36.947368, 38.842105, 40.736842, 42.631579, 44.526316, 44.526316, 46.421053, 46.421053, 48.315789, 48.315789, 50.210526, 50.210526, 52.105263, 52.105263, 54. , 54. , 55.894737, 55.894737, 57.789474, 59.684211, 61.578947, 63.473684, 63.473684, 65.368421, 65.368421, 67.263158, 67.263158, 69.157895, 69.157895, 71.052632, 71.052632, 72.947368, 72.947368, 74.842105, 76.736842, 78.631579, 80.526316, 82.421053, 84.315789, 84.315789, 86.210526, 86.210526, 88.105263, 88.105263, 90. , 90. ])
- time(time)float6415.5 45.0 ... 2.039e+04 2.042e+04
- bounds :
- time_bnds
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 2.03635e+04, 2.03940e+04, 2.04245e+04])
- lon(lon)float640.0 2.5 5.0 ... 352.5 355.0 357.5
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 2.5, 5. , 7.5, 10. , 12.5, 15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, 85. , 87.5, 90. , 92.5, 95. , 97.5, 100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5, 125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5, 150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5, 175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5, 200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5, 225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5, 250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5, 275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5, 300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5, 325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5, 350. , 352.5, 355. , 357.5])
- time_bnds(time, bnds)float64dask.array<chunksize=(468, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 10.75 kB Shape (1140, 2) (672, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(468, 142, 2), meta=np.ndarray>
Array Chunk Bytes 2.59 MB 1.53 MB Shape (1140, 142, 2) (672, 142, 2) Count 22 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(468, 144, 2), meta=np.ndarray>
Array Chunk Bytes 2.63 MB 1.55 MB Shape (1140, 144, 2) (672, 144, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - rsus(time, lat, lon)float32dask.array<chunksize=(468, 142, 144), meta=np.ndarray>
- standard_name :
- surface_upwelling_shortwave_flux_in_air
- long_name :
- Surface Upwelling Shortwave Radiation
- units :
- W m-2
- original_name :
- FSDS-FSNS
- original_units :
- W/m2
- history :
- 2012-06-13T10:29:11Z altered by CMOR: Converted units from 'W/m2' to 'W m-2'. 2012-06-13T10:29:11Z altered by CMOR: replaced missing value flag (1e+20) with standard missing value (1e+20). 2012-06-13T10:29:11Z altered by CMOR: Converted type from 'd' to 'f'.
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-ME_rcp85_r0i0p0.nc areacella: areacella_fx_NorESM1-ME_rcp85_r0i0p0.nc
Array Chunk Bytes 93.24 MB 54.96 MB Shape (1140, 142, 144) (672, 142, 144) Count 26 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- Norwegian Climate Centre
- institute_id :
- NCC
- experiment_id :
- rcp85
- source :
- NorESM1-ME 2011 atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r139, f19L26); ocean: MICOM (MICOM-noresm-ver1_cmip5-r139, gx1v6L53); ocean biogeochemistry: HAMOCC (HAMOCC-noresm-ver1_cmip5-r139, gx1v6L53); sea ice: CICE (CICE4-noresm-ver1_cmip5-r139); land: CLM (CLM4-noresm-ver1_cmip5-r139)
- model_id :
- NorESM1-ME
- forcing :
- GHG, SA, Oz, Sl, BC, OC
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 56940.0
- contact :
- Please send any requests or bug reports to noresm-ncc@met.no.
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- ac3f092f-f034-4e34-95c8-d48e3784fd42
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2012-06-13T10:29:11Z
- history :
- 2012-06-13T10:29:11Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (01 February 2012) 81f919710c21dca8a1753166d5bac090
- title :
- NorESM1-ME model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1