S2S Hindcasts

This dataset contains subseasonal-to-seasonal (S2S) hindcasts with CESM2 that were carried out as a community project and with community analysis in mind. These forecasts consist of 45-day long runs initialized every Monday from 1999 to 2019, 11 ensemble members. Output includes atmospheric, land, ocean and sea-ice variables (many requested by the community). These simulations are in support of the work done by the newly formed Earth System Predictability Working Group within CESM.

To Access Resource:

Questions? Email Resource Support Contact:

  • Teagan King
    tking@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1999
    End:  2023

Keywords

Resource Type dataset
Temporal Range Begin 1999
Temporal Range End 2023
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 N/A
Additional Information N/A
Resource Format NetCDF (Binary)
Standardized Resource Format NetCDF
Asset Size 0.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Teagan King
Resource Support Email tking@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 Richter, Yaga
Edwards, Jim
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2025-07-01
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier d651060
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-07-01T18:05:02Z
Metadata Record Identifier edu.ucar.rda::d651060
Metadata Language eng; USA
Suggested Citation Richter, Yaga, Edwards, Jim. (2025). S2S Hindcasts. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://rda.ucar.edu/datasets/d651060/. Accessed 05 July 2025.

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