Pulse Brain · Growing Health Evidence Index
Peer-reviewed

EMDNA: an Ensemble Meteorological Dataset for North America

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

Earth system science data · 2021

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Summary

Abstract. Probabilistic methods are useful to estimate the uncertainty in spatial meteorological fields (e.g., the uncertainty in spatial patterns of precipitation and temperature across large domains). In ensemble probabilistic methods, “equally plausible” ensemble members are used to approximate the probability distribution, hence the uncertainty, of a spatially distributed meteorological variable conditioned to the available information. The ensemble members can be used to evaluate the impact of uncertainties in spatial meteorological fields for a myriad of applications. This study develops the Ensemble Meteorological Dataset for North America (EMDNA). EMDNA has 100 ensemble members with daily precipitation amount, mean daily temperature, and daily temperature range at 0.1∘ spatial reso

Source type
Peer-reviewed study
DOI
10.5194/essd-13-3337-2021
Catalogue ID
BFmoef2us2-nqxda4
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