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/hus_Amon_CCSM4_rcp85_r3i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CCSM4 model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/hus/NCAR.CCSM4/r3i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_CCSM4_rcp85_r3i1p1.yaml |
| last updated | 2013-10-21 |
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>
hus (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: r3i1p1
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: 52cd3f22-ef7a-464f-90cf-06d720f3be36
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.rcp8_5.1deg.003
cesm_repotag: ccsm4_0_beta47
cesm_compset: BRCP85CN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on silver.cgd.ucar.edu at 20130228...
processing_code_information: Last Changed Rev: 1080 Last Changed Date: 2...
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2013-02-28T16:55:57Z
history: 2013-02-28T16:55:57Z 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: 3
cmor_version: 2.8.1xarray.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 - hus(time, plev, lat, lon)float32dask.array<chunksize=(528, 17, 192, 288), meta=np.ndarray>
- standard_name :
- specific_humidity
- long_name :
- Specific Humidity
- units :
- 1
- original_name :
- Q,PS
- comment :
- Q interpolated to standard plevs
- original_units :
- kg/kg
- history :
- 2013-02-28T16:55:56Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2013-02-28T16:55:56Z 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 :
- r3i1p1
- 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 :
- 52cd3f22-ef7a-464f-90cf-06d720f3be36
- 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.003
- cesm_repotag :
- ccsm4_0_beta47
- 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 silver.cgd.ucar.edu at 20130228 -095556.623
- processing_code_information :
- Last Changed Rev: 1080 Last Changed Date: 2013-02-27 14:37:38 -0700 (Wed, 27 Feb 2013) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2013-02-28T16:55:57Z
- history :
- 2013-02-28T16:55:57Z 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 :
- 3
- cmor_version :
- 2.8.1