MIROC-ESM 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/clw_Amon_MIROC-ESM_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | MIROC-ESM model output prepared for CMIP5 abrupt 4XCO2 |
location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/clw/MIROC.MIROC-ESM/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_MIROC-ESM_abrupt4xCO2_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 64, lev: 80, lon: 128, time: 1800) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 5.471e+04 5.474e+04 5.477e+04 * lev (lev) float64 0.995 0.98 0.9499 ... 2.834e-05 1.365e-05 3.557e-06 * lat (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86 * lon (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(720, 2), meta=np.ndarray> lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(720, 80, 2), meta=np.ndarray> p0 (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0 a (time, lev) float64 dask.array<chunksize=(720, 80), meta=np.ndarray> b (time, lev) float64 dask.array<chunksize=(720, 80), meta=np.ndarray> ps (time, lat, lon) float32 dask.array<chunksize=(720, 64, 128), meta=np.ndarray> a_bnds (time, lev, bnds) float64 dask.array<chunksize=(720, 80, 2), meta=np.ndarray> b_bnds (time, lev, bnds) float64 dask.array<chunksize=(720, 80, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(720, 64, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(720, 128, 2), meta=np.ndarray> clw (time, lev, lat, lon) float32 dask.array<chunksize=(720, 80, 64, 128), meta=np.ndarray> Attributes: institution: JAMSTEC (Japan Agency for Marine-Earth Science an... institute_id: MIROC experiment_id: abrupt4xCO2 source: MIROC-ESM 2010 atmosphere: MIROC-AGCM (MIROC-AGCM... model_id: MIROC-ESM forcing: GHG (GHG includes only CO2) parent_experiment_id: piControl parent_experiment_rip: r1i1p1 branch_time: 29219.0 contact: Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru... references: Watanabe et al., : MIROC-ESM: model description a... initialization_method: 1 physics_version: 1 tracking_id: e843a23e-8d7b-4c41-bf57-986a0d15e200 product: output experiment: abrupt 4XCO2 frequency: mon creation_date: 2011-09-17T05:15:47Z history: 2011-09-17T05:15:47Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f... title: MIROC-ESM model output prepared for CMIP5 abrupt ... parent_experiment: pre-industrial control modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 64
- lev: 80
- lon: 128
- time: 1800
- time(time)float6415.5 45.0 ... 5.474e+04 5.477e+04
- bounds :
- time_bnds
- units :
- days since 1-1-1
- calendar :
- proleptic_gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.47095e+04, 5.47400e+04, 5.47705e+04])
- lev(lev)float640.995 0.98 ... 1.365e-05 3.557e-06
- 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([9.949970e-01, 9.799879e-01, 9.499499e-01, 8.998809e-01, 8.297704e-01, 7.446762e-01, 6.573149e-01, 5.755944e-01, 5.014777e-01, 4.384676e-01, 3.869990e-01, 3.445771e-01, 3.092044e-01, 2.784894e-01, 2.508284e-01, 2.259165e-01, 2.034737e-01, 1.832604e-01, 1.650613e-01, 1.486666e-01, 1.338964e-01, 1.205957e-01, 1.086197e-01, 9.783214e-02, 8.811282e-02, 7.936068e-02, 7.147773e-02, 6.437755e-02, 5.798313e-02, 5.222401e-02, 4.703669e-02, 4.236472e-02, 3.815658e-02, 3.436632e-02, 3.095293e-02, 2.787843e-02, 2.510933e-02, 2.261514e-02, 2.036888e-02, 1.834553e-02, 1.652313e-02, 1.488216e-02, 1.340363e-02, 1.207207e-02, 1.087296e-02, 9.793066e-03, 8.820530e-03, 7.944415e-03, 7.155271e-03, 6.444503e-03, 5.804412e-03, 5.227899e-03, 4.708618e-03, 4.240920e-03, 3.819657e-03, 3.440231e-03, 3.098542e-03, 2.790792e-03, 2.513582e-03, 2.262951e-03, 2.034603e-03, 1.825092e-03, 1.631770e-03, 1.452488e-03, 1.285397e-03, 1.129199e-03, 9.829079e-04, 8.457397e-04, 7.172343e-04, 5.972169e-04, 4.858029e-04, 3.827215e-04, 2.892237e-04, 2.081550e-04, 1.414857e-04, 8.993629e-05, 5.285373e-05, 2.833825e-05, 1.364816e-05, 3.556539e-06])
- lat(lat)float64-87.86 -85.1 -82.31 ... 85.1 87.86
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369 , -73.947515, -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632, -54.4162 , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648, -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174, -20.929574, -18.138971, -15.348365, -12.557756, -9.767146, -6.976534, -4.185921, -1.395307, 1.395307, 4.185921, 6.976534, 9.767146, 12.557756, 15.348365, 18.138971, 20.929574, 23.720174, 26.510769, 29.30136 , 32.091944, 34.882521, 37.67309 , 40.463648, 43.254195, 46.044727, 48.835241, 51.625734, 54.4162 , 57.206632, 59.99702 , 62.787352, 65.577607, 68.367756, 71.157752, 73.947515, 76.7369 , 79.525607, 82.312913, 85.096527, 87.863799])
- lon(lon)float640.0 2.812 5.625 ... 354.4 357.2
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 2.8125, 5.625 , 8.4375, 11.25 , 14.0625, 16.875 , 19.6875, 22.5 , 25.3125, 28.125 , 30.9375, 33.75 , 36.5625, 39.375 , 42.1875, 45. , 47.8125, 50.625 , 53.4375, 56.25 , 59.0625, 61.875 , 64.6875, 67.5 , 70.3125, 73.125 , 75.9375, 78.75 , 81.5625, 84.375 , 87.1875, 90. , 92.8125, 95.625 , 98.4375, 101.25 , 104.0625, 106.875 , 109.6875, 112.5 , 115.3125, 118.125 , 120.9375, 123.75 , 126.5625, 129.375 , 132.1875, 135. , 137.8125, 140.625 , 143.4375, 146.25 , 149.0625, 151.875 , 154.6875, 157.5 , 160.3125, 163.125 , 165.9375, 168.75 , 171.5625, 174.375 , 177.1875, 180. , 182.8125, 185.625 , 188.4375, 191.25 , 194.0625, 196.875 , 199.6875, 202.5 , 205.3125, 208.125 , 210.9375, 213.75 , 216.5625, 219.375 , 222.1875, 225. , 227.8125, 230.625 , 233.4375, 236.25 , 239.0625, 241.875 , 244.6875, 247.5 , 250.3125, 253.125 , 255.9375, 258.75 , 261.5625, 264.375 , 267.1875, 270. , 272.8125, 275.625 , 278.4375, 281.25 , 284.0625, 286.875 , 289.6875, 292.5 , 295.3125, 298.125 , 300.9375, 303.75 , 306.5625, 309.375 , 312.1875, 315. , 317.8125, 320.625 , 323.4375, 326.25 , 329.0625, 331.875 , 334.6875, 337.5 , 340.3125, 343.125 , 345.9375, 348.75 , 351.5625, 354.375 , 357.1875])
- time_bnds(time, bnds)float64dask.array<chunksize=(720, 2), meta=np.ndarray>
Array Chunk Bytes 28.80 kB 11.52 kB Shape (1800, 2) (720, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(720, 80, 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 2.30 MB 921.60 kB Shape (1800, 80, 2) (720, 80, 2) Count 12 Tasks 3 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=(720, 80), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 1.15 MB 460.80 kB Shape (1800, 80) (720, 80) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(720, 80), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 1.15 MB 460.80 kB Shape (1800, 80) (720, 80) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(720, 64, 128), 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
- original_units :
- hPa
- history :
- 2011-09-17T05:15:46Z altered by CMOR: Converted units from 'hPa' to 'Pa'.
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
Array Chunk Bytes 58.98 MB 23.59 MB Shape (1800, 64, 128) (720, 64, 128) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(720, 80, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 2.30 MB 921.60 kB Shape (1800, 80, 2) (720, 80, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(720, 80, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 2.30 MB 921.60 kB Shape (1800, 80, 2) (720, 80, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(720, 64, 2), meta=np.ndarray>
Array Chunk Bytes 1.84 MB 737.28 kB Shape (1800, 64, 2) (720, 64, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(720, 128, 2), meta=np.ndarray>
Array Chunk Bytes 3.69 MB 1.47 MB Shape (1800, 128, 2) (720, 128, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - clw(time, lev, lat, lon)float32dask.array<chunksize=(720, 80, 64, 128), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_liquid_water_in_air
- long_name :
- Mass Fraction of Cloud Liquid Water
- comment :
- Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- QLIQL+QLIQC
- original_units :
- kg/kg
- history :
- 2011-09-17T05:15:46Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2011-09-17T05:15:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-09-17T05:15:47Z altered by CMOR: Inverted axis: lat.
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC-ESM_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_MIROC-ESM_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 4.72 GB 1.89 GB Shape (1800, 80, 64, 128) (720, 80, 64, 128) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), and NIES (National Institute for Environmental Studies, Ibaraki, Japan)
- institute_id :
- MIROC
- experiment_id :
- abrupt4xCO2
- source :
- MIROC-ESM 2010 atmosphere: MIROC-AGCM (MIROC-AGCM 2010, T42L80); ocean: COCO (COCO3.4, 256x192 L44); sea ice: COCO (COCO3.4); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T42L80):ocean-biogeochemistry: NPZD ; land-biogeochemistry: SEIB-DGVM (SEIB-DGVM, T42)
- model_id :
- MIROC-ESM
- forcing :
- GHG (GHG includes only CO2)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 29219.0
- contact :
- Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru Nozawa (nozawa@nies.go.jp)
- references :
- Watanabe et al., : MIROC-ESM: model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev. Discuss., 4, 1063-1128, doi:10.5194/gmdd-4-1063-2011, 2011.
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- e843a23e-8d7b-4c41-bf57-986a0d15e200
- product :
- output
- experiment :
- abrupt 4XCO2
- frequency :
- mon
- creation_date :
- 2011-09-17T05:15:47Z
- history :
- 2011-09-17T05:15:47Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f5dc79b7a1
- title :
- MIROC-ESM model output prepared for CMIP5 abrupt 4XCO2
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1