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Peer-reviewed

EM-Earth: The Ensemble Meteorological Dataset for Planet Earth

Guoqiang Tang, Martyn Clark, Simon Michael Papalexiou

Bulletin of the American Meteorological Society · 2022

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Summary

Abstract Gridded meteorological estimates are essential for many applications. Most existing meteorological datasets are deterministic and have limitations in representing the inherent uncertainties from both the data and methodology used to create gridded products. We develop the Ensemble Meteorological Dataset for Planet Earth (EM-Earth) for precipitation, mean daily temperature, daily temperature range, and dewpoint temperature at 0.1° spatial resolution over global land areas from 1950 to 2019. EM-Earth provides hourly/daily deterministic estimates, and daily probabilistic estimates (25 ensemble members), to meet the diverse requirements of hydrometeorological applications. To produce EM-Earth, we first developed a station-based Serially Complete Earth (SC-Earth) dataset, which removes

Source type
Peer-reviewed study
DOI
10.1175/bams-d-21-0106.1
Catalogue ID
BFmoef2us2-3p5ybs
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