CCSM4 model output prepared for CMIP5 historical
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ta_Amon_CCSM4_historical_r6i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CCSM4 model output prepared for CMIP5 historical |
location | /shared/cmip5/data/historical/atmos/mon/Amon/ta/NCAR.CCSM4/r6i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ta_Amon_CCSM4_historical_r6i1p1.yaml |
last updated | 2013-06-24 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 1872) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 5.686e+04 5.689e+04 5.692e+04 * plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03 * lat (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0 * lon (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(600, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(600, 288, 2), meta=np.ndarray> ta (time, plev, lat, lon) float32 dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray> Attributes: institution: NCAR (National Center for Atmospheric Resea... institute_id: NCAR experiment_id: historical source: CCSM4 model_id: CCSM4 forcing: Sl GHG Vl SS Ds SD BC MD OC Oz AA LU parent_experiment_id: piControl parent_experiment_rip: r1i1p1 branch_time: 953.0 contact: cesm_data@ucar.edu references: Gent P. R., et.al. 2011: The Community Clim... initialization_method: 1 physics_version: 1 tracking_id: 651cad2e-e8d8-42ca-862e-a88c9055130c acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.20th.track1.1deg.012 cesm_repotag: ccsm4_0_beta53 cesm_compset: B20TRCN resolution: f09_g16 (0.9x1.25_gx1v6) forcing_note: Additional information on the external forc... processed_by: strandwg on mirage5 at 20120210 -092055.872 processing_code_information: Last Changed Rev: 538 Last Changed Date: 20... product: output experiment: historical frequency: mon creation_date: 2012-02-10T16:20:56Z history: 2012-02-10T16:20:56Z CMOR rewrote data to c... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (12 January 2012) 4996d487f7a657... title: CCSM4 model output prepared for CMIP5 histo... parent_experiment: pre-industrial control modeling_realm: atmos realization: 6 cmor_version: 2.8.1
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 1872
- time(time)float6415.5 45.0 ... 5.689e+04 5.692e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.68635e+04, 5.68940e+04, 5.69245e+04])
- 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)float64-90.0 -89.06 -88.12 ... 89.06 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -89.057594, -88.115181, -87.172775, -86.23037 , -85.287956, -84.345551, -83.403145, -82.460732, -81.518326, -80.575912, -79.633507, -78.691101, -77.748688, -76.806282, -75.863876, -74.921463, -73.979057, -73.036652, -72.094238, -71.151833, -70.209427, -69.267014, -68.324608, -67.382202, -66.439789, -65.497383, -64.554977, -63.612564, -62.670158, -61.727749, -60.785339, -59.842934, -58.900524, -57.958115, -57.015705, -56.073299, -55.13089 , -54.18848 , -53.246075, -52.303665, -51.361256, -50.41885 , -49.47644 , -48.534031, -47.591621, -46.649216, -45.706806, -44.764397, -43.821991, -42.879581, -41.937172, -40.994766, -40.052357, -39.109947, -38.167538, -37.225132, -36.282722, -35.340313, -34.397907, -33.455498, -32.513088, -31.570681, -30.628273, -29.685863, -28.743456, -27.801046, -26.858639, -25.916231, -24.973822, -24.031414, -23.089005, -22.146597, -21.204189, -20.26178 , -19.319372, -18.376963, -17.434555, -16.492147, -15.549738, -14.607329, -13.664922, -12.722513, -11.780105, -10.837696, -9.895288, -8.95288 , -8.010471, -7.068063, -6.125654, -5.183246, -4.240838, -3.298429, -2.356021, -1.413613, -0.471204, 0.471204, 1.413613, 2.356021, 3.298429, 4.240838, 5.183246, 6.125654, 7.068063, 8.010471, 8.95288 , 9.895288, 10.837696, 11.780105, 12.722513, 13.664922, 14.607329, 15.549738, 16.492147, 17.434555, 18.376963, 19.319372, 20.26178 , 21.204189, 22.146597, 23.089005, 24.031414, 24.973822, 25.916231, 26.858639, 27.801046, 28.743456, 29.685863, 30.628273, 31.570681, 32.513088, 33.455498, 34.397907, 35.340313, 36.282722, 37.225132, 38.167538, 39.109947, 40.052357, 40.994766, 41.937172, 42.879581, 43.821991, 44.764397, 45.706806, 46.649216, 47.591621, 48.534031, 49.47644 , 50.41885 , 51.361256, 52.303665, 53.246075, 54.18848 , 55.13089 , 56.073299, 57.015705, 57.958115, 58.900524, 59.842934, 60.785339, 61.727749, 62.670158, 63.612564, 64.554977, 65.497383, 66.439789, 67.382202, 68.324608, 69.267014, 70.209427, 71.151833, 72.094238, 73.036652, 73.979057, 74.921463, 75.863876, 76.806282, 77.748688, 78.691101, 79.633507, 80.575912, 81.518326, 82.460732, 83.403145, 84.345551, 85.287956, 86.23037 , 87.172775, 88.115181, 89.057594, 90. ])
- lon(lon)float640.0 1.25 2.5 ... 356.2 357.5 358.8
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.25, 2.5 , ..., 356.25, 357.5 , 358.75])
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 10.75 kB Shape (1872, 2) (672, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
Array Chunk Bytes 5.75 MB 2.06 MB Shape (1872, 192, 2) (672, 192, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 288, 2), meta=np.ndarray>
Array Chunk Bytes 8.63 MB 3.10 MB Shape (1872, 288, 2) (672, 288, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - ta(time, plev, lat, lon)float32dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray>
- standard_name :
- air_temperature
- long_name :
- Air Temperature
- units :
- K
- original_name :
- T,PS
- comment :
- T interpolated to standard plevs
- cell_methods :
- time: mean (interval: 30 days)
- cell_measures :
- area: areacella
- history :
- 2012-02-10T16:20:56Z altered by CMOR: Reordered dimensions, original order: plev lat lon time. 2012-02-10T16:20:56Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CCSM4_historical_r0i0p0.nc areacella: areacella_fx_CCSM4_historical_r0i0p0.nc
Array Chunk Bytes 7.04 GB 2.53 GB Shape (1872, 17, 192, 288) (672, 17, 192, 288) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- NCAR (National Center for Atmospheric Research) Boulder, CO, USA
- institute_id :
- NCAR
- experiment_id :
- historical
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG Vl SS Ds SD BC MD OC Oz AA LU
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 953.0
- contact :
- cesm_data@ucar.edu
- references :
- Gent P. R., et.al. 2011: The Community Climate System Model version 4. J. Climate, doi: 10.1175/2011JCLI4083.1
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 651cad2e-e8d8-42ca-862e-a88c9055130c
- acknowledgements :
- The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. NCAR is sponsored by the National Science Foundation. Computing resources were provided by the Climate Simulation Laboratory at the NCAR Computational and Information Systems Laboratory (CISL), sponsored by the National Science Foundation and other agencies.
- cesm_casename :
- b40.20th.track1.1deg.012
- cesm_repotag :
- ccsm4_0_beta53
- cesm_compset :
- B20TRCN
- resolution :
- f09_g16 (0.9x1.25_gx1v6)
- forcing_note :
- Additional information on the external forcings used in this experiment can be found at http://www.cesm.ucar.edu/CMIP5/forcing_information
- processed_by :
- strandwg on mirage5 at 20120210 -092055.872
- processing_code_information :
- Last Changed Rev: 538 Last Changed Date: 2012-02-09 16:59:02 -0700 (Thu, 09 Feb 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2012-02-10T16:20:56Z
- history :
- 2012-02-10T16:20:56Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (12 January 2012) 4996d487f7a65749098d9cc0dccb4f8d
- title :
- CCSM4 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 6
- cmor_version :
- 2.8.1