NA-CORDEX - North American component of the Coordinated Regional Downscaling Experiment

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Abstract:

The North America CORDEX (NA-CORDEX) dataset contains regional climate change scenario data and guide for North America, for use in impacts, decision-making, and climate science. This dataset contains output from regional climate models (RCMs) run over a domain covering most of North America using boundary conditions from global climate model (GCM) simulations in the CMIP5 archive. These simulations run from 1950 to 2100 with a spatial resolution of 0.22 degree (25km) or 0.44 degree (50km). This version of the data is the same as the AWS S3 version. It includes selected variables converted to the Zarr format from the original NetCDF. Only daily data are currently available; all daily data were mapped to the standard calendar.

Acknowledgement:

In addition to the RDA dataset citation, authors are required to include the following citation of all the dataset authors in publications that base outcomes on this dataset:
https://na-cordex.org/dataset-citation.html

Temporal Range:
1950-01-01 00:00:00 to 2100-12-31 23:59:59
Updates:
Irregularly
Variables:
Air Temperature U/V Wind Components
Data Types:
Grid
Data Contributors:
UCAR/NCAR/RAL
Research Application Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
72.08 TB (Entire dataset) Volume details by dataset product
Data Formats:
ASCII (see dataset documentation)
Metadata Record:
Data License:
Data LicenseThis work is licensed under a Creative Commons Attribution Non Commercial Share Alike 4.0 International 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.