CCSM4 model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mrso_Lmon_CCSM4_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CCSM4 model output prepared for CMIP5 pre-industrial control |
location | /shared/cmip5/data/piControl/land/mon/Lmon/mrso/NCAR.CCSM4/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mrso_Lmon_CCSM4_piControl_r1i1p1.yaml |
last updated | 2015-01-22 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 288, time: 12612) Coordinates: * time (time) float64 9.09e+04 9.093e+04 ... 4.745e+05 4.745e+05 * 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=(3012, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(3012, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(3012, 288, 2), meta=np.ndarray> mrso (time, lat, lon) float32 dask.array<chunksize=(3012, 192, 288), meta=np.ndarray> Attributes: institution: NCAR (National Center for Atmospheric Resea... institute_id: NCAR experiment_id: piControl source: CCSM4 model_id: CCSM4 forcing: Sl GHG SS Ds SD BC MD OC Oz AA (all fixed a... parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 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: fb7b7053-6a60-47b7-a6f5-2fa972b1fb74 acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.1850.track1.1deg.006 cesm_repotag: ccsm4_0_beta23 cesm_compset: B1850TR1CN resolution: f09_g16 (0.9x1.25_gx1v6) forcing_note: Additional information on the external forc... processed_by: strandwg on silver.cgd.ucar.edu at 20130505... processing_code_information: Last Changed Rev: 1108 Last Changed Date: 2... product: output experiment: pre-industrial control frequency: mon creation_date: 2013-05-05T23:23:42Z history: 2013-05-05T23:23:42Z CMOR rewrote data to c... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Lmon (12 January 2012) 02d5e7d546567f... title: CCSM4 model output prepared for CMIP5 pre-i... parent_experiment: N/A modeling_realm: land realization: 1 cmor_version: 2.8.1
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- time: 12612
- time(time)float649.09e+04 9.093e+04 ... 4.745e+05
- bounds :
- time_bnds
- units :
- days since 0001-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 90900.5, 90930. , 90959.5, ..., 474423.5, 474454. , 474484.5])
- 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. , -89.057587, -88.115181, -87.172783, -86.23037 , -85.287956, -84.345551, -83.403137, -82.460732, -81.518333, -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, -63.61256 , -62.670158, -61.727749, -60.785339, -59.84293 , -58.90052 , -57.958111, -57.015709, -56.073299, -55.13089 , -54.18848 , -53.246071, -52.303669, -51.361259, -50.41885 , -49.47644 , -48.534031, -47.591621, -46.64922 , -45.70681 , -44.7644 , -43.821991, -42.879581, -41.937168, -40.99477 , -40.052361, -39.109951, -38.167542, -37.225128, -36.282719, -35.340309, -34.397911, -33.455502, -32.513088, -31.570681, -30.628269, -29.68586 , -28.74346 , -27.80105 , -26.858641, -25.916229, -24.97382 , -24.03141 , -23.089001, -22.146601, -21.204189, -20.26178 , -19.31937 , -18.376961, -17.434561, -16.492149, -15.54974 , -14.60733 , -13.66492 , -12.72251 , -11.7801 , -10.8377 , -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, 10.8377 , 11.7801 , 12.72251 , 13.66492 , 14.60733 , 15.54974 , 16.492149, 17.434561, 18.376961, 19.31937 , 20.26178 , 21.204189, 22.146601, 23.089001, 24.03141 , 24.97382 , 25.916229, 26.858641, 27.80105 , 28.74346 , 29.68586 , 30.628269, 31.570681, 32.513088, 33.455502, 34.397911, 35.340309, 36.282719, 37.225128, 38.167542, 39.109951, 40.052361, 40.99477 , 41.937168, 42.879581, 43.821991, 44.7644 , 45.70681 , 46.64922 , 47.591621, 48.534031, 49.47644 , 50.41885 , 51.361259, 52.303669, 53.246071, 54.18848 , 55.13089 , 56.073299, 57.015709, 57.958111, 58.90052 , 59.84293 , 60.785339, 61.727749, 62.670158, 63.61256 , 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, 81.518333, 82.460732, 83.403137, 84.345551, 85.287956, 86.23037 , 87.172783, 88.115181, 89.057587, 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=(3012, 2), meta=np.ndarray>
Array Chunk Bytes 201.79 kB 96.19 kB Shape (12612, 2) (6012, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(3012, 192, 2), meta=np.ndarray>
Array Chunk Bytes 38.74 MB 18.47 MB Shape (12612, 192, 2) (6012, 192, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(3012, 288, 2), meta=np.ndarray>
Array Chunk Bytes 58.12 MB 27.70 MB Shape (12612, 288, 2) (6012, 288, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - mrso(time, lat, lon)float32dask.array<chunksize=(3012, 192, 288), meta=np.ndarray>
- standard_name :
- soil_moisture_content
- long_name :
- Total Soil Moisture Content
- comment :
- SOILICE+SOILLIQ, capped over ice-covered regions at 5000 kg m-2, CMIP5_table_comment: the mass per unit area (summed over all soil layers) of water in all phases.
- units :
- kg m-2
- original_name :
- SOILICE,SOILLIQ
- original_units :
- kg/m2
- history :
- 2013-05-05T23:23:42Z altered by CMOR: Converted units from 'kg/m2' to 'kg m-2'. 2013-05-05T23:23:42Z altered by CMOR: replaced missing value flag (1e+36) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 days) area: mean where land
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_land_fx_CCSM4_piControl_r0i0p0.nc areacella: areacella_fx_CCSM4_piControl_r0i0p0.nc
Array Chunk Bytes 2.79 GB 1.33 GB Shape (12612, 192, 288) (6012, 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 :
- piControl
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG SS Ds SD BC MD OC Oz AA (all fixed at 1850 values)
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- 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 :
- fb7b7053-6a60-47b7-a6f5-2fa972b1fb74
- 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 :
- b40.1850.track1.1deg.006
- cesm_repotag :
- ccsm4_0_beta23
- cesm_compset :
- B1850TR1CN
- 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 20130505 -172342.404
- processing_code_information :
- Last Changed Rev: 1108 Last Changed Date: 2013-04-29 10:59:00 -0600 (Mon, 29 Apr 2013) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2013-05-05T23:23:42Z
- history :
- 2013-05-05T23:23:42Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Lmon (12 January 2012) 02d5e7d546567ffd5638e5a7d7215fd5
- title :
- CCSM4 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- land
- realization :
- 1
- cmor_version :
- 2.8.1