CCSM4 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/hus_Amon_CCSM4_abrupt4xCO2_r2i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CCSM4 model output prepared for CMIP5 abrupt 4XCO2 |
| location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/hus/NCAR.CCSM4/r2i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_CCSM4_abrupt4xCO2_r2i1p1.yaml |
| last updated | 2017-07-07 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 1248)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 3.788e+04 3.791e+04 3.794e+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>
hus (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: abrupt4xCO2
source: CCSM4
model_id: CCSM4
forcing: GHG (CO2 only, instantaneously to 4X)
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
branch_time: 8.0
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: 0771f3c4-bab9-4298-9cde-2806149ecb0d
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.4xco2_cosp.cam4.1deg.001
cesm_repotag: cesm1_0_beta20
cesm_compset: B_1850_CN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on mirage3 at 20120528 -090904.002
processing_code_information: Last Changed Rev: 801 Last Changed Date: 20...
product: output
experiment: abrupt 4XCO2
frequency: mon
creation_date: 2012-05-28T15:09:49Z
history: 2012-05-28T15:09:49Z 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 abrup...
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 2
cmor_version: 2.8.1xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 1248
- time(time)float6415.5 45.0 ... 3.791e+04 3.794e+04
- bounds :
- time_bnds
- units :
- days since 0001-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 3.78835e+04, 3.79140e+04, 3.79445e+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 19.97 kB 10.37 kB Shape (1248, 2) (648, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
Array Chunk Bytes 3.83 MB 1.99 MB Shape (1248, 192, 2) (648, 192, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 288, 2), meta=np.ndarray>
Array Chunk Bytes 5.75 MB 2.99 MB Shape (1248, 288, 2) (648, 288, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - hus(time, plev, lat, lon)float32dask.array<chunksize=(600, 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 :
- 2012-05-28T15:09:04Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2012-05-28T15:09:04Z altered by CMOR: Reordered dimensions, original order: plev lat lon time. 2012-05-28T15:09:04Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20).
- 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_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_CCSM4_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 4.69 GB 2.44 GB Shape (1248, 17, 192, 288) (648, 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 :
- abrupt4xCO2
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- GHG (CO2 only, instantaneously to 4X)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 8.0
- 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 :
- 0771f3c4-bab9-4298-9cde-2806149ecb0d
- 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. This research used resources of the National Energy Research Scientific Computing Center, which is supported by the Office of Science (BER) of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
- cesm_casename :
- b40.4xco2_cosp.cam4.1deg.001
- cesm_repotag :
- cesm1_0_beta20
- cesm_compset :
- B_1850_CN
- 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 mirage3 at 20120528 -090904.002
- processing_code_information :
- Last Changed Rev: 801 Last Changed Date: 2012-05-28 08:49:34 -0600 (Mon, 28 May 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- abrupt 4XCO2
- frequency :
- mon
- creation_date :
- 2012-05-28T15:09:49Z
- history :
- 2012-05-28T15:09:49Z 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 abrupt 4XCO2
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 2
- cmor_version :
- 2.8.1