inmcm4 model output prepared for CMIP5 abrupt 4XCO2
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clivi_Amon_inmcm4_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | inmcm4 model output prepared for CMIP5 abrupt 4XCO2 |
location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/clivi/INM.inmcm4/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clivi_Amon_inmcm4_abrupt4xCO2_r1i1p1.yaml |
last updated | 2013-05-23 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 120, lon: 180, time: 1800) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 5.467e+04 5.47e+04 5.473e+04 * lat (lat) float64 -89.25 -87.75 -86.25 -84.75 ... 86.25 87.75 89.25 * lon (lon) float64 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 0.0 31.0 31.0 ... 5.472e+04 5.475e+04 lat_bnds (lat, bnds) float64 -90.0 -88.5 -88.5 -87.0 ... 88.5 88.5 90.0 lon_bnds (lon, bnds) float64 -1.0 1.0 1.0 3.0 ... 355.0 357.0 357.0 359.0 clivi (time, lat, lon) float32 ... Attributes: institution: INM (Institute for Numerical Mathematics, Moscow... institute_id: INM experiment_id: abrupt4xCO2 source: inmcm4 (2009) model_id: inmcm4 forcing: N/A parent_experiment_id: piControl branch_time: 87600.0 contact: Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubki... history: Output from /data5/volodin/4CO2B 2010-06-23T12:55... comment: no comments references: Volodin, Diansky, Gusev 2010. Climate model INMCM... initialization_method: 1 physics_version: 1 tracking_id: d4923809-e71d-4842-aa0a-474105591355 product: output experiment: abrupt 4XCO2 frequency: mon creation_date: 2010-06-23T13:01:36Z Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (12 May 2010) 12e195f2fdc87c907b38b38e... title: inmcm4 model output prepared for CMIP5 abrupt 4XCO2 parent_experiment: pre-industrial control modeling_realm: atmos realization: 1 cmor_version: 2.0.0
xarray.Dataset
- bnds: 2
- lat: 120
- lon: 180
- time: 1800
- time(time)float6415.5 45.0 ... 5.47e+04 5.473e+04
- bounds :
- time_bnds
- units :
- days since 2090-1-1
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.46735e+04, 5.47040e+04, 5.47345e+04])
- lat(lat)float64-89.25 -87.75 ... 87.75 89.25
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25, -75.75, -74.25, -72.75, -71.25, -69.75, -68.25, -66.75, -65.25, -63.75, -62.25, -60.75, -59.25, -57.75, -56.25, -54.75, -53.25, -51.75, -50.25, -48.75, -47.25, -45.75, -44.25, -42.75, -41.25, -39.75, -38.25, -36.75, -35.25, -33.75, -32.25, -30.75, -29.25, -27.75, -26.25, -24.75, -23.25, -21.75, -20.25, -18.75, -17.25, -15.75, -14.25, -12.75, -11.25, -9.75, -8.25, -6.75, -5.25, -3.75, -2.25, -0.75, 0.75, 2.25, 3.75, 5.25, 6.75, 8.25, 9.75, 11.25, 12.75, 14.25, 15.75, 17.25, 18.75, 20.25, 21.75, 23.25, 24.75, 26.25, 27.75, 29.25, 30.75, 32.25, 33.75, 35.25, 36.75, 38.25, 39.75, 41.25, 42.75, 44.25, 45.75, 47.25, 48.75, 50.25, 51.75, 53.25, 54.75, 56.25, 57.75, 59.25, 60.75, 62.25, 63.75, 65.25, 66.75, 68.25, 69.75, 71.25, 72.75, 74.25, 75.75, 77.25, 78.75, 80.25, 81.75, 83.25, 84.75, 86.25, 87.75, 89.25])
- lon(lon)float640.0 2.0 4.0 ... 354.0 356.0 358.0
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0., 2., 4., 6., 8., 10., 12., 14., 16., 18., 20., 22., 24., 26., 28., 30., 32., 34., 36., 38., 40., 42., 44., 46., 48., 50., 52., 54., 56., 58., 60., 62., 64., 66., 68., 70., 72., 74., 76., 78., 80., 82., 84., 86., 88., 90., 92., 94., 96., 98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118., 120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142., 144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166., 168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190., 192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214., 216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238., 240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262., 264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286., 288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310., 312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334., 336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.])
- time_bnds(time, bnds)float64...
array([[0.0000e+00, 3.1000e+01], [3.1000e+01, 5.9000e+01], [5.9000e+01, 9.0000e+01], ..., [5.4658e+04, 5.4689e+04], [5.4689e+04, 5.4719e+04], [5.4719e+04, 5.4750e+04]])
- lat_bnds(lat, bnds)float64...
array([[-90. , -88.5], [-88.5, -87. ], [-87. , -85.5], ..., [ 85.5, 87. ], [ 87. , 88.5], [ 88.5, 90. ]])
- lon_bnds(lon, bnds)float64...
array([[ -1., 1.], [ 1., 3.], [ 3., 5.], ..., [353., 355.], [355., 357.], [357., 359.]])
- clivi(time, lat, lon)float32...
- standard_name :
- atmosphere_cloud_ice_content
- long_name :
- Ice Water Path
- comment :
- calculate mass of ice water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Include precipitating frozen hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
- units :
- kg m-2
- original_name :
- clivi
- cell_methods :
- time: mean (interval: 1 month)
- history :
- 2010-06-23T12:55:31Z altered by CMOR: Reordered dimensions, original order: time lon lat.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_fx_inmcm4_abrupt4xCO2_r0i0p0.nc
[38880000 values with dtype=float32]
- institution :
- INM (Institute for Numerical Mathematics, Moscow, Russia)
- institute_id :
- INM
- experiment_id :
- abrupt4xCO2
- source :
- inmcm4 (2009)
- model_id :
- inmcm4
- forcing :
- N/A
- parent_experiment_id :
- piControl
- branch_time :
- 87600.0
- contact :
- Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubkina 8, Moscow, 119333 Russia,+7-495-9383904
- history :
- Output from /data5/volodin/4CO2B 2010-06-23T12:55:32Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- no comments
- references :
- Volodin, Diansky, Gusev 2010. Climate model INMCM4.0. Izvestia RAS. Atmospheric and oceanic physics, V.46, N4, in print.
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- d4923809-e71d-4842-aa0a-474105591355
- product :
- output
- experiment :
- abrupt 4XCO2
- frequency :
- mon
- creation_date :
- 2010-06-23T13:01:36Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (12 May 2010) 12e195f2fdc87c907b38b38e15851337
- title :
- inmcm4 model output prepared for CMIP5 abrupt 4XCO2
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.0.0