Dataset Open Access

A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation

Koppa, Akash; Rains, Dominik; Hulsman, Petra; Poyatos, Rafael; Miralles, Diego G.

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Publication date:
January 21, 2022
DOI:
10.5281/zenodo.5886608

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10.5281/zenodo.5886608

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Keyword(s):
Deep learning Hybrid Modeling Evaporation Evaporative Stress Transpiration GLEAM Machine Learning Earth System Modeling
Grants:
European Commission:
  • DOWN2EARTH - DOWN2EARTH: Translation of climate information into multilevel decision support for social adaptation, policy development, and resilience to water scarcity in the Horn of Africa Drylands (869550)
  • DRY-2-DRY - Do droughts self-propagate and self-intensify? (715254)
License (for files):
Creative Commons Attribution 4.0 International

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Version 2 10.5281/zenodo.5886608 Jan 21, 2022
Version 1 10.5281/zenodo.5220753 Aug 19, 2021
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.5220752. This DOI represents all versions, and will always resolve to the latest one. Read more.

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