GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties

GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties

Abstract This article introduces the Generalized Analog Regression Downscaling method Large Ensemble (GARD-LENS) dataset, comprised of daily precipitation, mean temperature, and temperature range over the Contiguous U.S., Alaska, and Hawaii at 12-km, 4-km, and 1-km resolutions, respectively. GARD-LE...

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Bibliographic Details
Main Authors: Samantha H. Hartke, Andrew J. Newman, Ethan Gutmann, Rachel McCrary, Nicholas D. Lybarger, Flavio Lehner
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04205-z
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