CCSM4 model output prepared for CMIP5 RCP8.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/wap_Amon_CCSM4_rcp85_r6i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CCSM4 model output prepared for CMIP5 RCP8.5 |
location | /shared/cmip5/data/rcp85/atmos/mon/Amon/wap/NCAR.CCSM4/r6i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/wap_Amon_CCSM4_rcp85_r6i1p1.yaml |
last updated | 2013-09-16 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 1140) Coordinates: * time (time) float64 380.5 410.0 439.5 ... 3.499e+04 3.502e+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=(528, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(528, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(528, 288, 2), meta=np.ndarray> wap (time, plev, lat, lon) float32 dask.array<chunksize=(528, 17, 192, 288), meta=np.ndarray> Attributes: institution: NCAR (National Center for Atmospheric Resea... institute_id: NCAR experiment_id: rcp85 source: CCSM4 model_id: CCSM4 forcing: Sl GHG SS Ds SA BC MD OC Oz AA parent_experiment_id: historical parent_experiment_rip: r6i1p1 branch_time: 2005.0 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: 1 physics_version: 1 tracking_id: 4a5c7168-642b-458d-ae70-0d752f1c5a60 acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.rcp8_5.1deg.007 cesm_repotag: ccsm4_0_beta53 cesm_compset: BRCP85CN resolution: f09_g16 (0.9x1.25_gx1v6) forcing_note: Additional information on the external forc... processed_by: strandwg on caldera11 at 20130830 -100428.419 processing_code_information: Last Changed Rev: 1156 Last Changed Date: 2... product: output experiment: RCP8.5 frequency: mon creation_date: 2013-08-30T16:05:01Z history: 2013-08-30T16:05:01Z 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 RCP8.5 parent_experiment: historical modeling_realm: atmos realization: 6 cmor_version: 2.8.1
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 1140
- time(time)float64380.5 410.0 ... 3.499e+04 3.502e+04
- bounds :
- time_bnds
- units :
- days since 2005-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 380.5, 410. , 439.5, ..., 34963.5, 34994. , 35024.5])
- 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=(528, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 9.79 kB Shape (1140, 2) (612, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(528, 192, 2), meta=np.ndarray>
Array Chunk Bytes 3.50 MB 1.88 MB Shape (1140, 192, 2) (612, 192, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(528, 288, 2), meta=np.ndarray>
Array Chunk Bytes 5.25 MB 2.82 MB Shape (1140, 288, 2) (612, 288, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - wap(time, plev, lat, lon)float32dask.array<chunksize=(528, 17, 192, 288), meta=np.ndarray>
- standard_name :
- lagrangian_tendency_of_air_pressure
- long_name :
- omega (=dp/dt)
- comment :
- OMEGA interpolated to standard plevs, CMIP5_table_comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down)
- units :
- Pa s-1
- original_name :
- OMEGA,PS
- original_units :
- Pa/s
- history :
- 2013-08-30T16:04:28Z altered by CMOR: Converted units from 'Pa/s' to 'Pa s-1'. 2013-08-30T16:04:28Z altered by CMOR: Reordered dimensions, original order: plev lat lon time.
- cell_methods :
- time: mean (interval: 30 days)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CCSM4_rcp85_r0i0p0.nc areacella: areacella_fx_CCSM4_rcp85_r0i0p0.nc
Array Chunk Bytes 4.29 GB 2.30 GB Shape (1140, 17, 192, 288) (612, 17, 192, 288) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- NCAR (National Center for Atmospheric Research) Boulder, CO, USA
- institute_id :
- NCAR
- experiment_id :
- rcp85
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG SS Ds SA BC MD OC Oz AA
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r6i1p1
- branch_time :
- 2005.0
- 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 :
- 1
- physics_version :
- 1
- tracking_id :
- 4a5c7168-642b-458d-ae70-0d752f1c5a60
- 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.rcp8_5.1deg.007
- cesm_repotag :
- ccsm4_0_beta53
- cesm_compset :
- BRCP85CN
- 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 caldera11 at 20130830 -100428.419
- processing_code_information :
- Last Changed Rev: 1156 Last Changed Date: 2013-08-29 14:27:05 -0600 (Thu, 29 Aug 2013) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2013-08-30T16:05:01Z
- history :
- 2013-08-30T16:05:01Z 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 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 6
- cmor_version :
- 2.8.1