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A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation

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

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        <foaf:name>Miralles, Diego G.</foaf:name>
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    <dct:title>A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation</dct:title>
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    <dcat:keyword>Deep learning</dcat:keyword>
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    <dcat:keyword>Evaporation</dcat:keyword>
    <dcat:keyword>Evaporative Stress</dcat:keyword>
    <dcat:keyword>Transpiration</dcat:keyword>
    <dcat:keyword>GLEAM</dcat:keyword>
    <dcat:keyword>Machine Learning</dcat:keyword>
    <dcat:keyword>Earth System Modeling</dcat:keyword>
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Publication date:
August 19, 2021
DOI:
10.5281/zenodo.5220753

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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
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