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/clw_Amon_CCSM4_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CCSM4 model output prepared for CMIP5 abrupt 4XCO2 |
| location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/clw/NCAR.CCSM4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_CCSM4_abrupt4xCO2_r1i1p1.yaml |
| last updated | 2013-05-23 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lev: 26, lon: 288, time: 1812)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.504e+04 5.507e+04 5.51e+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=(600, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 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=(600, 26), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(600, 26), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(600, 192, 288), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 26, 2), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 26, 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>
clw (time, lev, lat, lon) float32 dask.array<chunksize=(600, 26, 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: 2.0
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: bd7f03e6-e712-4aab-a23c-facb20289d50
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.abrupt4xco2.1deg.001
cesm_repotag: ccsm4_0_beta45
cesm_compset: B1850CN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on mirage0 at 20120428 -070238.626
processing_code_information: Last Changed Rev: 717 Last Changed Date: 20...
product: output
experiment: abrupt 4XCO2
frequency: mon
creation_date: 2012-04-28T13:04:16Z
history: 2012-04-28T13:04:16Z 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: 1
cmor_version: 2.8.1xarray.Dataset
- bnds: 2
- lat: 192
- lev: 26
- lon: 288
- time: 1812
- time(time)float6415.5 45.0 ... 5.507e+04 5.51e+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, ..., 5.50385e+04, 5.50690e+04, 5.50995e+04]) - 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=(600, 2), meta=np.ndarray>
Array Chunk Bytes 28.99 kB 9.79 kB Shape (1812, 2) (612, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 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 753.79 kB 254.59 kB Shape (1812, 26, 2) (612, 26, 2) Count 12 Tasks 3 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=(600, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 376.90 kB 127.30 kB Shape (1812, 26) (612, 26) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(600, 26), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 376.90 kB 127.30 kB Shape (1812, 26) (612, 26) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(600, 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 400.79 MB 135.36 MB Shape (1812, 192, 288) (612, 192, 288) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 753.79 kB 254.59 kB Shape (1812, 26, 2) (612, 26, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 26, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 753.79 kB 254.59 kB Shape (1812, 26, 2) (612, 26, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
Array Chunk Bytes 5.57 MB 1.88 MB Shape (1812, 192, 2) (612, 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 8.35 MB 2.82 MB Shape (1812, 288, 2) (612, 288, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - clw(time, lev, lat, lon)float32dask.array<chunksize=(600, 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 :
- 2012-04-28T13:02:38Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2012-04-28T13:02:38Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20). 2012-04-28T13:04:16Z 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_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_CCSM4_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 10.42 GB 3.52 GB Shape (1812, 26, 192, 288) (612, 26, 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 :
- abrupt4xCO2
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- GHG (CO2 only, instantaneously to 4X)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 2.0
- 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 :
- bd7f03e6-e712-4aab-a23c-facb20289d50
- 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.abrupt4xco2.1deg.001
- cesm_repotag :
- ccsm4_0_beta45
- cesm_compset :
- B1850CN
- 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 mirage0 at 20120428 -070238.626
- processing_code_information :
- Last Changed Rev: 717 Last Changed Date: 2012-04-27 15:24:40 -0600 (Fri, 27 Apr 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- abrupt 4XCO2
- frequency :
- mon
- creation_date :
- 2012-04-28T13:04:16Z
- history :
- 2012-04-28T13:04:16Z 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 :
- 1
- cmor_version :
- 2.8.1