NCAR Community Earth System Model, EaSM Project Dataset

This dataset includes climate model output data from NCAR's Community Earth System Model (CESM) CMIP 5 runs, configured as CCSM4 (CAM4), with output fields for the 3-D global atmosphere at six hourly intervals. A basic set of parameters is provided on 26 model hybrid level surfaces: specific humidity, temperature, wind components, and geopotential height to support regional modeling studies. Additional parameters are provided on single level grids to support analysis studies including surface temperature. Data are available in yearly time-series parameter archive files, and monthly synoptic time archive files. An interface is provided to give users the option to select parameter, temporal, and spatial subsets from the monthly synoptic time archive files. The data are a single 20th Century (1950-2005) simulation and three concomitant Representative Concentration Pathway (RCP) future scenarios spanning 2005-2100. These computer runs were completed in 2011.

Users needing for WRF boundary conditions are recommended to use the bias corrected version of this dataset found in RDA dataset ds316.1, NCAR CESM Global Bias-corrected CMIP5 Output to Support WRF/MPAS Research.

NOTE: All RCP2.6 data has been removed due to corrupted data caused by a model bug.

To Access Resource:

Questions? Email Resource Support Contact:

  • Doug Schuster
    schuster@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1950-01-01T00:00:00Z
    End:  2100-12-31T18:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1950-01-01T00:00:00Z
Temporal Range End 2100-12-31T18:00:00Z
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : CESM site

Related Resource #2 : CESM Experiment Description

Related Resource #3 : CESM data website. Provides access to monthly mean 20th Century and RCP data.

Related Resource #4 : Earth System Grid. Provides access to 20thC and RCP monthly mean data.
Additional Information N/A
Resource Format NetCDF (Binary)
Standardized Resource Format NetCDF
Asset Size 49756165 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Doug Schuster
Resource Support Email schuster@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Research Data Archive, Computational and Information Systems Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Community Climate System Model, Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2011-08-27
Digital Object Identifier (DOI) https://doi.org/10.5065/D6TH8JP5
Alternate Identifier ds316.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-01-03T15:11:35-07:00
Metadata Record Identifier edu.ucar.rda::ds316.0
Metadata Language eng; USA
Suggested Citation Research Data Archive, Computational and Information Systems Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research, Community Climate System Model, Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research. (2011). NCAR Community Earth System Model, EaSM Project Dataset. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6TH8JP5. Accessed 19 April 2024.

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