Dataset Open Access
A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Miralles, Diego G.
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917
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| All versions | This version | |
|---|---|---|
| Views | 917 | 509 |
| Downloads | 6,466 | 5,969 |
| Data volume | 181.2 TB | 169.5 TB |
| Unique views | 780 | 464 |
| Unique downloads | 255 | 125 |
Indexed in
- Publication date:
- August 19, 2021
- DOI:
-
- 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)
-
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)
- License (for files):
- Creative Commons Attribution 4.0 International