CMCC-CMS model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ts_Amon_CMCC-CMS_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CMCC-CMS model output prepared for CMIP5 pre-industrial control |
location | /shared/cmip5/data/piControl/atmos/mon/Amon/ts/CMCC.CMCC-CMS/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ts_Amon_CMCC-CMS_piControl_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 96, lon: 192, time: 6000) Coordinates: * time (time) float64 15.5 45.5 75.5 ... 3.576e+03 3.606e+03 3.636e+03 * lat (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57 * lon (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 96, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(120, 192, 2), meta=np.ndarray> ts (time, lat, lon) float32 dask.array<chunksize=(120, 96, 192), meta=np.ndarray> Attributes: institution: CMCC - Centro Euro-Mediterraneo per i Cambiamenti... institute_id: CMCC experiment_id: piControl source: CMCC-CMS model_id: CMCC-CMS forcing: Nat,GHG,Oz,Sl parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: Chiara Cagnazzo (chiara.cagnazzo@cmcc.it) history: Model output postprocessed with Afterburner and C... comment: Equilibrium reached after more than 1500-year spi... references: model described in the documentation at http://ww... initialization_method: 1 physics_version: 1 tracking_id: 24207407-efb1-4595-b22c-65c2c534f300 product: output experiment: pre-industrial control frequency: mon creation_date: 2011-09-30T11:19:51Z Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (27 April 2011) a5a1c518f52ae340313ba0... title: CMCC-CMS model output prepared for CMIP5 pre-indu... parent_experiment: N/A modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 96
- lon: 192
- time: 6000
- time(time)float6415.5 45.5 ... 3.606e+03 3.636e+03
- bounds :
- time_bnds
- calendar :
- standard
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15.5, 45.5, 75.5, ..., 3575.5, 3606. , 3636.5])
- lat(lat)float64-88.57 -86.72 ... 86.72 88.57
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-88.572169, -86.722531, -84.86197 , -82.998942, -81.134977, -79.270559, -77.405888, -75.541061, -73.676132, -71.811132, -69.946081, -68.080991, -66.215872, -64.35073 , -62.485571, -60.620396, -58.755209, -56.890013, -55.024808, -53.159595, -51.294377, -49.429154, -47.563926, -45.698694, -43.833459, -41.96822 , -40.102979, -38.237736, -36.372491, -34.507243, -32.641994, -30.776744, -28.911492, -27.046239, -25.180986, -23.315731, -21.450475, -19.585219, -17.719962, -15.854704, -13.989446, -12.124187, -10.258928, -8.393669, -6.528409, -4.66315 , -2.79789 , -0.93263 , 0.93263 , 2.79789 , 4.66315 , 6.528409, 8.393669, 10.258928, 12.124187, 13.989446, 15.854704, 17.719962, 19.585219, 21.450475, 23.315731, 25.180986, 27.046239, 28.911492, 30.776744, 32.641994, 34.507243, 36.372491, 38.237736, 40.102979, 41.96822 , 43.833459, 45.698694, 47.563926, 49.429154, 51.294377, 53.159595, 55.024808, 56.890013, 58.755209, 60.620396, 62.485571, 64.35073 , 66.215872, 68.080991, 69.946081, 71.811132, 73.676132, 75.541061, 77.405888, 79.270559, 81.134977, 82.998942, 84.86197 , 86.722531, 88.572169])
- lon(lon)float640.0 1.875 3.75 ... 356.2 358.1
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125, 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125, 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125, 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125, 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125, 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125, 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125, 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125, 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125, 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125, 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125, 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125, 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125, 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125, 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125, 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125, 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125, 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125, 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125, 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125, 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125, 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125, 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125, 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 96.00 kB 1.92 kB Shape (6000, 2) (120, 2) Count 150 Tasks 50 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 96, 2), meta=np.ndarray>
Array Chunk Bytes 9.22 MB 184.32 kB Shape (6000, 96, 2) (120, 96, 2) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 192, 2), meta=np.ndarray>
Array Chunk Bytes 18.43 MB 368.64 kB Shape (6000, 192, 2) (120, 192, 2) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - ts(time, lat, lon)float32dask.array<chunksize=(120, 96, 192), meta=np.ndarray>
- standard_name :
- surface_temperature
- long_name :
- Surface Temperature
- comment :
- ""skin"" temperature (i.e., SST for open ocean)
- units :
- K
- original_name :
- tsurf
- cell_methods :
- time: mean (interval: 1 month)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CMCC-CMS_piControl_r0i0p0.nc areacella: areacella_fx_CMCC-CMS_piControl_r0i0p0.nc
- history :
- 2011-09-30T11:19:51Z altered by CMOR: Inverted axis: lat.
Array Chunk Bytes 442.37 MB 8.85 MB Shape (6000, 96, 192) (120, 96, 192) Count 150 Tasks 50 Chunks Type float32 numpy.ndarray
- institution :
- CMCC - Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy
- institute_id :
- CMCC
- experiment_id :
- piControl
- source :
- CMCC-CMS
- model_id :
- CMCC-CMS
- forcing :
- Nat,GHG,Oz,Sl
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Chiara Cagnazzo (chiara.cagnazzo@cmcc.it)
- history :
- Model output postprocessed with Afterburner and CDO (https://code.zmaw.de/projects) 2011-09-30T11:19:51Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- Equilibrium reached after more than 1500-year spin-up at pre-industrial GHG concentrations after which data were output with nominal date of January 3684
- references :
- model described in the documentation at http://www.cmcc.it/data-models/models
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 24207407-efb1-4595-b22c-65c2c534f300
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-09-30T11:19:51Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
- title :
- CMCC-CMS model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1