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/clw_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/clw/NCAR.CCSM4/r6i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_CCSM4_rcp85_r6i1p1.yaml |
| last updated | 2013-05-31 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lev: 26, lon: 288, time: 1140)
Coordinates:
* time (time) float64 380.5 410.0 439.5 ... 3.499e+04 3.502e+04
* lev (lev) float64 0.9926 0.9706 0.9296 ... 0.01397 0.007389 0.003545
* 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>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(528, 26, 2), meta=np.ndarray>
p0 (time) float32 1000.0 1000.0 1000.0 ... 1000.0 1000.0 1000.0
a (time, lev) float64 dask.array<chunksize=(528, 26), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(528, 26), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(528, 192, 288), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(528, 26, 2), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(528, 26, 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>
clw (time, lev, lat, lon) float32 dask.array<chunksize=(528, 26, 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: 20.0
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: 0def247d-d918-4b40-9728-c024af8e5c5f
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 mirage3 at 20120615 -132154.081
processing_code_information: Last Changed Rev: 896 Last Changed Date: 20...
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2012-06-15T19:22:34Z
history: 2012-06-15T19:22:34Z 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: 2.8.1xarray.Dataset
- bnds: 2
- lat: 192
- lev: 26
- lon: 288
- 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])
- lev(lev)float640.9926 0.9706 ... 0.007389 0.003545
- bounds :
- lev_bnds
- units :
- 1
- axis :
- Z
- positive :
- down
- long_name :
- hybrid sigma pressure coordinate
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- formula :
- p = a*p0 + b*ps
- formula_terms :
- p0: p0 a: a b: b ps: ps
array([0.992556, 0.970555, 0.929649, 0.867161, 0.787702, 0.696796, 0.600524, 0.510455, 0.433895, 0.368818, 0.313501, 0.266481, 0.226513, 0.19254 , 0.163662, 0.139115, 0.11825 , 0.100515, 0.085439, 0.070059, 0.053115, 0.03723 , 0.023945, 0.013967, 0.007389, 0.003545]) - 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 - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(528, 26, 2), meta=np.ndarray>
- formula :
- p = a*p0 + b*ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- units :
- 1
- formula_terms :
- p0: p0 a: a_bnds b: b_bnds ps: ps
Array Chunk Bytes 474.24 kB 254.59 kB Shape (1140, 26, 2) (612, 26, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - p0(time)float321000.0 1000.0 ... 1000.0 1000.0
- long_name :
- vertical coordinate formula term: reference pressure
- units :
- Pa
array([1000., 1000., 1000., ..., 1000., 1000., 1000.], dtype=float32)
- a(time, lev)float64dask.array<chunksize=(528, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 237.12 kB 127.30 kB Shape (1140, 26) (612, 26) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(528, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 237.12 kB 127.30 kB Shape (1140, 26) (612, 26) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(528, 192, 288), meta=np.ndarray>
- standard_name :
- surface_air_pressure
- long_name :
- Surface Air Pressure
- comment :
- not, in general, the same as mean sea-level pressure
- units :
- Pa
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
Array Chunk Bytes 252.15 MB 135.36 MB Shape (1140, 192, 288) (612, 192, 288) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(528, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 474.24 kB 254.59 kB Shape (1140, 26, 2) (612, 26, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(528, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 474.24 kB 254.59 kB Shape (1140, 26, 2) (612, 26, 2) Count 8 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 - clw(time, lev, lat, lon)float32dask.array<chunksize=(528, 26, 192, 288), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_liquid_water_in_air
- long_name :
- Mass Fraction of Cloud Liquid Water
- comment :
- CLDLIQ on model levels, no change, CMIP5_table_comment: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- CLDLIQ,PS
- original_units :
- kg/kg
- history :
- 2012-06-15T19:21:54Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2012-06-15T19:21:54Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20). 2012-06-15T19:22:34Z altered by CMOR: Inverted axis: lev.
- 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 6.56 GB 3.52 GB Shape (1140, 26, 192, 288) (612, 26, 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 :
- 20.0
- 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 :
- 0def247d-d918-4b40-9728-c024af8e5c5f
- 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 mirage3 at 20120615 -132154.081
- processing_code_information :
- Last Changed Rev: 896 Last Changed Date: 2012-06-15 12:52:32 -0600 (Fri, 15 Jun 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2012-06-15T19:22:34Z
- history :
- 2012-06-15T19:22:34Z 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