S2S Hindcast MJO Cases

This dataset includes two MJO case S2S hindcasts starting with a QBO neutral state. For each case, the pre-control experiment follows the standard CESM2 S2S hindcast protocol as free runs, while the QBO experiments are conducted with the stratosphere zonal means nudged to the sum of pre-control states and the QBO anomalies for the selected variable such as zonal wind, temperature, or both. The dataset is used to investigate the QBO impacts on MJO case hindcasts.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  2000-11-13
    End:  2001-02-05

Keywords

Resource Type dataset
Temporal Range Begin 2000-11-13
Temporal Range End 2001-02-05
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 Huang, Kai
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 d651061
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-07-02T18:05:02Z
Metadata Record Identifier edu.ucar.rda::d651061
Metadata Language eng; USA
Suggested Citation Huang, Kai. (2025). S2S Hindcast MJO Cases. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://rda.ucar.edu/datasets/d651061/. Accessed 29 July 2025.

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