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CAM6 Data Assimilation Research Testbed (DART) Reanalysis

ds345.0
| DOI: 10.5065/JG1E-8525
 
Abstract:

These CAM6 Data Assimilation Research Testbed (DART) Reanalysis data products are designed to facilitate a broad variety of research using NCAR's CESM2 models, ranging from model evaluation to (ensemble) hindcasting, data assimilation experiments, and sensitivity studies. They come from an 80 member ensemble reanalysis of the global troposphere and stratosphere using DART and CAM6 from CESM2.1. The data products represent the actual states of the atmosphere during 2 recent decades at a 1 degree horizontal resolution and 6 hourly frequency. Each ensemble member is an equally likely description of the atmosphere, and is also consistent with dynamics and physics of CAM6. Visit DART Reanalysis for details.

Temporal Range:
2011-01-01 00:00:00 to 2021-01-01 00:00:00
Variables:
Air Temperature Humidity Upper Air Temperature Upper Level Winds
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CISL/DAReS
Data Assimilation Research Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
Raeder, Kevin, Timothy J. Hoar, Mohamad El Gharamti, Benjamin K. Johnson, Nancy Collins, Jeffrey L. Anderson, Jeff Steward and Mick Coady, 2021: A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models Scientific Reports, 11, 16384 (DOI: 10.1038/s41598-021-92927-0).

Total Volume:
132.99 TB (Entire dataset) Volume details by dataset product
Data Formats:
Metadata Record:
Data License:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.