Dataset Open Access
A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Poyatos, Rafael;
Miralles, Diego G.
BibTeX Export
@dataset{koppa_akash_2022_5886608,
author = {Koppa, Akash and
Rains, Dominik and
Hulsman, Petra and
Poyatos, Rafael and
Miralles, Diego G.},
title = {{A Deep Learning-Based Hybrid Model of Global
Terrestrial Evaporation}},
month = jan,
year = 2022,
publisher = {Zenodo},
doi = {10.5281/zenodo.5886608},
url = {https://doi.org/10.5281/zenodo.5886608}
}
1,013
6,513
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downloads
| All versions | This version | |
|---|---|---|
| Views | 1,013 | 467 |
| Downloads | 6,513 | 541 |
| Data volume | 182.1 TB | 12.6 TB |
| Unique views | 861 | 421 |
| Unique downloads | 289 | 165 |
Indexed in
- Publication date:
- January 21, 2022
- 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