Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3337-2021
https://doi.org/10.5194/essd-13-3337-2021
Data description paper
 | 
13 Jul 2021
Data description paper |  | 13 Jul 2021

EMDNA: an Ensemble Meteorological Dataset for North America

Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou, Andrew J. Newman, Andrew W. Wood, Dominique Brunet, and Paul H. Whitfield

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AR by Guoqiang Tang on behalf of the Authors (19 May 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Jun 2021) by David Carlson
AR by Guoqiang Tang on behalf of the Authors (09 Jun 2021)  Manuscript 
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Short summary
Probabilistic estimates are useful to quantify the uncertainties in meteorological datasets. This study develops the Ensemble Meteorological Dataset for North America (EMDNA). EMDNA has 100 members with daily precipitation amount, mean daily temperature, and daily temperature range at 0.1° spatial resolution from 1979 to 2018. It is expected to be useful for hydrological and meteorological applications in North America.
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