Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States

Ning Sun; Hongxiang Yan; Mark S. Wigmosta; Andre M. Coleman; L. Ruby Leung; Zhangshuan Hou

doi:10.1038/s41597-022-01221-9

Scientific Data (Apr 2022)

Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States

Ning Sun,
Hongxiang Yan,
Mark S. Wigmosta,
Andre M. Coleman,
L. Ruby Leung,
Zhangshuan Hou

Affiliations

Ning Sun: Energy and Environment Directorate, Pacific Northwest National Laboratory
Hongxiang Yan: Energy and Environment Directorate, Pacific Northwest National Laboratory
Mark S. Wigmosta: Energy and Environment Directorate, Pacific Northwest National Laboratory
Andre M. Coleman: Energy and Environment Directorate, Pacific Northwest National Laboratory
L. Ruby Leung: Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Zhangshuan Hou: Energy and Environment Directorate, Pacific Northwest National Laboratory

DOI: https://doi.org/10.1038/s41597-022-01221-9
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

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Measurement(s) gridded precipitation Technology Type(s) weather station Sample Characteristic - Environment flood • snowmelt • hydrological process Sample Characteristic - Location contiguous United States of America

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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