Preindustrial fully coupled CESM2.0.1 (B1850_c201_CTL) for atmospheric river analyses

CESM version 2.0.1 (the original public-release version of CESM2, and scientifically identical to public version 2.1.0) was run on a nominal 1-degree finite-volume horizontal grid for 30 years to assess the model's ability to represent atmospheric rivers (extreme precipitation events) and their related weather patterns. The dataset is comprised of global, daily averaged CAM history files for selected single-level and multi-level fields. Data size was minimized by extracting from the native files only fields relevant to extreme precipitation and related weather patterns.

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Keywords

Resource Type dataset
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat 90.0
Bounding Box South Lat -90.0
Bounding Box West Long -180.0
Bounding Box East Long 180.0
Spatial Representation grid
Spatial Resolution 1.25 degree
Related Links N/A
Additional Information N/A
Resource Format NetCDF
Standardized Resource Format NetCDF
Asset Size 335213.713 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Benedict, James
Publisher NSF National Center for Atmospheric Research
Publication Date 2019-01-01
Digital Object Identifier (DOI) https://doi.org/10.26024/krv2-rt84
Alternate Identifier d010073
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:19:53Z
Metadata Record Identifier edu.ucar.gdex::d010073
Metadata Language eng; USA
Suggested Citation Benedict, James. (2019). Preindustrial fully coupled CESM2.0.1 (B1850_c201_CTL) for atmospheric river analyses. NSF National Center for Atmospheric Research. https://doi.org/10.26024/krv2-rt84. Accessed 11 October 2025.

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