CCSM4 model output prepared for CMIP5 RCP4.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mrsos_Lmon_CCSM4_rcp45_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CCSM4 model output prepared for CMIP5 RCP4.5 |
| location | /shared/cmip5/data/rcp45/land/mon/Lmon/mrsos/NCAR.CCSM4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/mrsos_Lmon_CCSM4_rcp45_r1i1p1.yaml |
| last updated | 2013-05-28 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lon: 288, time: 3540)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 7.256e+04 7.259e+04 7.262e+04
* 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
depth float64 0.05
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(1152, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(1152, 192, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(1152, 288, 2), meta=np.ndarray>
depth_bnds (time, bnds) float64 dask.array<chunksize=(1152, 2), meta=np.ndarray>
mrsos (time, lat, lon) float32 dask.array<chunksize=(1152, 192, 288), meta=np.ndarray>
Attributes:
institution: NCAR (National Center for Atmospheric Resea...
institute_id: NCAR
experiment_id: rcp45
source: CCSM4
model_id: CCSM4
forcing: Sl GHG Vl SS Ds SA BC MD OC Oz AA
parent_experiment_id: historical
parent_experiment_rip: r1i1p1
branch_time: 2005.0
contact: cesm_data@ucar.edu
references: Gent P. R., et.al. 2011: The Community Clim...
initialization_method: 1
physics_version: 1
tracking_id: 5a294be5-59b5-4351-a070-154bde11cf96
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.rcp4_5.1deg.001
cesm_repotag: ccsm4_0_beta49
cesm_compset: BRCP45CN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on copper.cgd.ucar.edu at 20111102...
processing_code_information: Last Changed Rev: 440 Last Changed Date: 20...
product: output
experiment: RCP4.5
frequency: mon
creation_date: 2011-11-02T22:31:53Z
history: 2011-11-02T22:31:53Z CMOR rewrote data to c...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Lmon (26 July 2011) 07f3ab0937f49f401...
title: CCSM4 model output prepared for CMIP5 RCP4.5
parent_experiment: historical
modeling_realm: land
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- time: 3540
- time(time)float6415.5 45.0 ... 7.259e+04 7.262e+04
- bounds :
- time_bnds
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 7.25585e+04, 7.25890e+04, 7.26195e+04]) - 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])
- depth()float640.05
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- depth
- standard_name :
- depth
- bounds :
- depth_bnds
array(0.05)
- time_bnds(time, bnds)float64dask.array<chunksize=(1152, 2), meta=np.ndarray>
Array Chunk Bytes 56.64 kB 38.21 kB Shape (3540, 2) (2388, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(1152, 192, 2), meta=np.ndarray>
Array Chunk Bytes 10.87 MB 7.34 MB Shape (3540, 192, 2) (2388, 192, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(1152, 288, 2), meta=np.ndarray>
Array Chunk Bytes 16.31 MB 11.00 MB Shape (3540, 288, 2) (2388, 288, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - depth_bnds(time, bnds)float64dask.array<chunksize=(1152, 2), meta=np.ndarray>
Array Chunk Bytes 56.64 kB 38.21 kB Shape (3540, 2) (2388, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - mrsos(time, lat, lon)float32dask.array<chunksize=(1152, 192, 288), meta=np.ndarray>
- standard_name :
- moisture_content_of_soil_layer
- long_name :
- Moisture in Upper Portion of Soil Column
- comment :
- Integrate SOILICE + SOILLIQ over top 10cm, CMIP5_table_comment: the mass of water in all phases in a thin surface soil layer.
- units :
- kg m-2
- original_name :
- SOILICE,SOILLIQ
- original_units :
- kg/m2
- history :
- 2011-11-02T22:31:52Z altered by CMOR: Converted units from 'kg/m2' to 'kg m-2'. 2011-11-02T22:31:52Z altered by CMOR: Treated scalar dimension: 'depth'. 2011-11-02T22:31:52Z 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_rcp45_r0i0p0.nc areacella: areacella_fx_CCSM4_rcp45_r0i0p0.nc
Array Chunk Bytes 782.99 MB 528.19 MB Shape (3540, 192, 288) (2388, 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 :
- rcp45
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG Vl SS Ds SA BC MD OC Oz AA
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 2005.0
- contact :
- cesm_data@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 :
- 5a294be5-59b5-4351-a070-154bde11cf96
- 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.rcp4_5.1deg.001
- cesm_repotag :
- ccsm4_0_beta49
- cesm_compset :
- BRCP45CN
- 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 copper.cgd.ucar.edu at 20111102 -163152.744
- processing_code_information :
- Last Changed Rev: 440 Last Changed Date: 2011-11-01 16:44:38 -0600 (Tue, 01 Nov 2011) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- RCP4.5
- frequency :
- mon
- creation_date :
- 2011-11-02T22:31:53Z
- history :
- 2011-11-02T22:31:53Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Lmon (26 July 2011) 07f3ab0937f49f401723ad1417906100
- title :
- CCSM4 model output prepared for CMIP5 RCP4.5
- parent_experiment :
- historical
- modeling_realm :
- land
- realization :
- 1
- cmor_version :
- 2.7.1