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/ua_Amon_CCSM4_historical_r1i2p2.yaml")
ds=cat.netcdf.read()
Metadata
title | CCSM4 model output prepared for CMIP5 historical |
location | /shared/cmip5/data/historical/atmos/mon/Amon/ua/NCAR.CCSM4/r1i2p2 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_Amon_CCSM4_historical_r1i2p2.yaml |
last updated | 2013-08-27 |
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> ua (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: past1000 parent_experiment_rip: r1i1p1 branch_time: 1850.0 contact: cesm_data@ucar.edu comment: CESM home page: http://www.cesm.ucar.edu references: Gent P. R., et.al. 2011: The Community Clim... initialization_method: 2 physics_version: 2 tracking_id: e02fc18d-4f77-4a9f-a70b-bd0b2aa7f020 acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.lm1850-2005.1deg.002 cesm_repotag: cesm1_0_beta05 cesm_compset: B20TRCN resolution: f09_g16 (0.9x1.25_gx1v6) forcing_note: Additional information on the external forc... processed_by: strandwg on silver.cgd.ucar.edu at 20130713... processing_code_information: Last Changed Rev: 1120 Last Changed Date: 2... product: output experiment: historical frequency: mon creation_date: 2013-07-13T22:40:00Z history: 2013-07-13T22:40:00Z 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: last millennium modeling_realm: atmos realization: 1 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 - ua(time, plev, lat, lon)float32dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray>
- standard_name :
- eastward_wind
- long_name :
- Eastward Wind
- units :
- m s-1
- original_name :
- U,PS
- comment :
- U interpolated to standard plevs
- original_units :
- m/s
- history :
- 2013-07-13T22:39:55Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2013-07-13T22:39:55Z altered by CMOR: Reordered dimensions, original order: plev lat lon time.
- cell_methods :
- time: mean (interval: 30 days)
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_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 :
- past1000
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 1850.0
- contact :
- cesm_data@ucar.edu
- comment :
- CESM home page: http://www.cesm.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 :
- 2
- physics_version :
- 2
- tracking_id :
- e02fc18d-4f77-4a9f-a70b-bd0b2aa7f020
- 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.lm1850-2005.1deg.002
- cesm_repotag :
- cesm1_0_beta05
- 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 silver.cgd.ucar.edu at 20130713 -163955.936
- processing_code_information :
- Last Changed Rev: 1120 Last Changed Date: 2013-07-12 12:04:16 -0600 (Fri, 12 Jul 2013) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2013-07-13T22:40:00Z
- history :
- 2013-07-13T22:40:00Z 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 :
- last millennium
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.8.1