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Peer-reviewed

SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018

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

Earth system science data · 2020

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Summary

Abstract. Station-based serially complete datasets (SCDs) of precipitation and temperature observations are important for hydrometeorological studies. Motivated by the lack of serially complete station observations for North America, this study seeks to develop an SCD from 1979 to 2018 from station data. The new SCD for North America (SCDNA) includes daily precipitation, minimum temperature (Tmin⁡), and maximum temperature (Tmax⁡) data for 27 276 stations. Raw meteorological station data were obtained from the Global Historical Climate Network Daily (GHCN-D), the Global Surface Summary of the Day (GSOD), Environment and Climate Change Canada (ECCC), and a compiled station database in Mexico. Stations with at least 8-year-long records were selected, which underwent location correction and w

Source type
Peer-reviewed study
DOI
10.5194/essd-12-2381-2020
Catalogue ID
BFmoef2us2-srtxd5
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