inmcm4 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/ua_Amon_inmcm4_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | inmcm4 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/atmos/mon/Amon/ua/INM.inmcm4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_Amon_inmcm4_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 120, lon: 180, plev: 17, time: 6000)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.824e+05 1.825e+05 1.825e+05
* plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
* 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 dask.array<chunksize=(120, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 120, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(120, 180, 2), meta=np.ndarray>
ua (time, plev, lat, lon) float32 dask.array<chunksize=(120, 17, 120, 180), meta=np.ndarray>
Attributes:
institution: INM (Institute for Numerical Mathematics, Moscow...
institute_id: INM
experiment_id: piControl
source: inmcm4 (2009)
model_id: inmcm4
forcing: N/A
parent_experiment_id: N/A
branch_time: 0.0
contact: Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubki...
history: Output from /data5/volodin/PICNTL 2010-06-02T05:3...
comment: no comments
references: Volodin, Diansky, Gusev 2010. Climate model INMCM...
initialization_method: 1
physics_version: 1
tracking_id: a832bfa0-7767-425f-ba62-257f67dc517f
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2010-06-02T05:36:46Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (12 May 2010) 12e195f2fdc87c907b38b38e...
title: inmcm4 model output prepared for CMIP5 pre-indust...
parent_experiment: N/A
modeling_realm: atmos
realization: 1
cmor_version: 2.0.0xarray.Dataset
- bnds: 2
- lat: 120
- lon: 180
- plev: 17
- time: 6000
- time(time)float6415.5 45.0 ... 1.825e+05 1.825e+05
- bounds :
- time_bnds
- units :
- days since 1850-1-1
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.824235e+05, 1.824540e+05, 1.824845e+05]) - plev(plev)float641e+05 9.25e+04 ... 2e+03 1e+03
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000.]) - 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)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, 120, 2), meta=np.ndarray>
Array Chunk Bytes 11.52 MB 230.40 kB Shape (6000, 120, 2) (120, 120, 2) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 180, 2), meta=np.ndarray>
Array Chunk Bytes 17.28 MB 345.60 kB Shape (6000, 180, 2) (120, 180, 2) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - ua(time, plev, lat, lon)float32dask.array<chunksize=(120, 17, 120, 180), meta=np.ndarray>
- standard_name :
- eastward_wind
- long_name :
- Eastward Wind
- units :
- m s-1
- original_name :
- ua
- cell_methods :
- time: mean (interval: 1 month)
- cell_measures :
- area: areacella
- history :
- 2010-06-02T05:36:37Z altered by CMOR: Reordered dimensions, original order: time lat lon plev.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_fx_inmcm4_piControl_r0i0p0.nc areacella: areacella_fx_inmcm4_piControl_r0i0p0.nc
Array Chunk Bytes 8.81 GB 176.26 MB Shape (6000, 17, 120, 180) (120, 17, 120, 180) Count 150 Tasks 50 Chunks Type float32 numpy.ndarray
- institution :
- INM (Institute for Numerical Mathematics, Moscow, Russia)
- institute_id :
- INM
- experiment_id :
- piControl
- source :
- inmcm4 (2009)
- model_id :
- inmcm4
- forcing :
- N/A
- parent_experiment_id :
- N/A
- branch_time :
- 0.0
- contact :
- Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubkina 8, Moscow, 119333 Russia,+7-495-9383904
- history :
- Output from /data5/volodin/PICNTL 2010-06-02T05:36:37Z 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 :
- a832bfa0-7767-425f-ba62-257f67dc517f
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2010-06-02T05:36:46Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (12 May 2010) 12e195f2fdc87c907b38b38e15851337
- title :
- inmcm4 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.0.0