EM-Earth: The Ensemble Meteorological Dataset for Planet Earth
|Description:||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 dew-point 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. The deterministic estimates can be used like most meteorological datasets such as ERA5, MERRA2, and GPM IMERG. The probabilistic estimates can enable ensemble hydrological simulation and support easy uncertainty analysis.
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Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou. EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. Bulletin of the American Meteorological Society. 2022
|Authors:||Tang, Guoqiang; University of Saskatchewan|
Clark, Martyn; University of Saskatchewan
Papalexiou, Simon Michael; University of Calgary
Dew Point Temperature
|Field of Research:|
Earth and related environmental sciences
|Publisher:||Federated Research Data Repository / dépôt fédéré de données de recherche|
|Appears in Collections:||Global Water Futures|
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Tang, G. , Clark, M. , Papalexiou, S. (2022) EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. Federated Research Data Repository. https://doi.org/10.20383/102.0547