NorESM1-M 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_NorESM1-M_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NorESM1-M model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/cli/NCC.NorESM1-M/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cli_Amon_NorESM1-M_rcp85_r1i1p1.yaml |
| last updated | 2013-05-31 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 96, lev: 26, lon: 144, time: 1224)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 3.46e+04 3.463e+04 3.466e+04
* lev (lev) float64 0.9926 0.9706 0.9296 ... 0.01397 0.007389 0.003545
* lat (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0
* 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=(84, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(84, 26, 2), meta=np.ndarray>
p0 (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0
a (time, lev) float64 dask.array<chunksize=(84, 26), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(84, 26), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(84, 96, 144), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(84, 26, 2), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(84, 26, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(84, 96, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(84, 144, 2), meta=np.ndarray>
cli (time, lev, lat, lon) float32 dask.array<chunksize=(84, 26, 96, 144), meta=np.ndarray>
Attributes:
institution: Norwegian Climate Centre
institute_id: NCC
experiment_id: rcp85
source: NorESM1-M 2011 atmosphere: CAM-Oslo (CAM4-Oslo-n...
model_id: NorESM1-M
forcing: GHG, SA, Oz, Sl, BC, OC
parent_experiment_id: historical
parent_experiment_rip: 1
branch_time: 56940.0
contact: Please send any requests or bug reports to noresm...
initialization_method: 1
physics_version: 1
tracking_id: f271d750-00a9-43b8-aa65-97b7ef8fc4f1
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2011-04-19T13:44:34Z
history: 2011-04-19T13:44:34Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (11 April 2011) 1cfdc7322cf2f4a3261482...
title: NorESM1-M model output prepared for CMIP5 RCP8.5
parent_experiment: historical
modeling_realm: atmos
realization: 1
cmor_version: 2.5.7xarray.Dataset
- bnds: 2
- lat: 96
- lev: 26
- lon: 144
- time: 1224
- time(time)float6415.5 45.0 ... 3.463e+04 3.466e+04
- bounds :
- time_bnds
- units :
- days since 2006-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 3.45985e+04, 3.46290e+04, 3.46595e+04]) - lev(lev)float640.9926 0.9706 ... 0.007389 0.003545
- 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([0.992556, 0.970555, 0.929649, 0.867161, 0.787702, 0.696796, 0.600524, 0.510455, 0.433895, 0.368818, 0.313501, 0.266481, 0.226513, 0.19254 , 0.163662, 0.139115, 0.11825 , 0.100515, 0.085439, 0.070059, 0.053115, 0.03723 , 0.023945, 0.013967, 0.007389, 0.003545]) - lat(lat)float64-90.0 -88.11 -86.21 ... 88.11 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, -29.368421, -27.473684, -25.578947, -23.684211, -21.789474, -19.894737, -18. , -16.105263, -14.210526, -12.315789, -10.421053, -8.526316, -6.631579, -4.736842, -2.842105, -0.947368, 0.947368, 2.842105, 4.736842, 6.631579, 8.526316, 10.421053, 12.315789, 14.210526, 16.105263, 18. , 19.894737, 21.789474, 23.684211, 25.578947, 27.473684, 29.368421, 31.263158, 33.157895, 35.052632, 36.947368, 38.842105, 40.736842, 42.631579, 44.526316, 46.421053, 48.315789, 50.210526, 52.105263, 54. , 55.894737, 57.789474, 59.684211, 61.578947, 63.473684, 65.368421, 67.263158, 69.157895, 71.052632, 72.947368, 74.842105, 76.736842, 78.631579, 80.526316, 82.421053, 84.315789, 86.210526, 88.105263, 90. ]) - 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=(84, 2), meta=np.ndarray>
Array Chunk Bytes 19.58 kB 18.24 kB Shape (1224, 2) (1140, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(84, 26, 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 509.18 kB 474.24 kB Shape (1224, 26, 2) (1140, 26, 2) Count 8 Tasks 2 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=(84, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 254.59 kB 237.12 kB Shape (1224, 26) (1140, 26) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(84, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 254.59 kB 237.12 kB Shape (1224, 26) (1140, 26) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(84, 96, 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 67.68 MB 63.04 MB Shape (1224, 96, 144) (1140, 96, 144) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(84, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 509.18 kB 474.24 kB Shape (1224, 26, 2) (1140, 26, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(84, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 509.18 kB 474.24 kB Shape (1224, 26, 2) (1140, 26, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(84, 96, 2), meta=np.ndarray>
Array Chunk Bytes 1.88 MB 1.75 MB Shape (1224, 96, 2) (1140, 96, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(84, 144, 2), meta=np.ndarray>
Array Chunk Bytes 2.82 MB 2.63 MB Shape (1224, 144, 2) (1140, 144, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - cli(time, lev, lat, lon)float32dask.array<chunksize=(84, 26, 96, 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 :
- CLDICE
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- history :
- 2011-04-19T13:44:33Z altered by CMOR: Converted type from 'd' to 'f'. 2011-04-19T13:44:34Z altered by CMOR: Inverted axis: lev.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_rcp85_r0i0p0.nc areacella: areacella_fx_NorESM1-M_rcp85_r0i0p0.nc
Array Chunk Bytes 1.76 GB 1.64 GB Shape (1224, 26, 96, 144) (1140, 26, 96, 144) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- Norwegian Climate Centre
- institute_id :
- NCC
- experiment_id :
- rcp85
- source :
- NorESM1-M 2011 atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26); ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53); sea ice: CICE (CICE4-noresm-ver1_cmip5-r112); land: CLM (CLM4-noresm-ver1_cmip5-r112)
- model_id :
- NorESM1-M
- forcing :
- GHG, SA, Oz, Sl, BC, OC
- parent_experiment_id :
- historical
- parent_experiment_rip :
- 1
- 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 :
- f271d750-00a9-43b8-aa65-97b7ef8fc4f1
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2011-04-19T13:44:34Z
- history :
- 2011-04-19T13:44:34Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (11 April 2011) 1cfdc7322cf2f4a32614826fab42c1ab
- title :
- NorESM1-M model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.7