Dataset Open Access
A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Poyatos, Rafael;
Miralles, Diego G.
Citation Style Language JSON Export
{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.5886608",
"language": "eng",
"title": "A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation",
"issued": {
"date-parts": [
[
2022,
1,
21
]
]
},
"abstract": "<p>This repository contains the datasets used in the research article "A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation".</p>\n\n<p>The repository contains the following files: 1) Input - contains all the processed input used for training the deep learning models and the datasets used for creating the figures in the article. 2) Output - contains the final deep learning models and the outputs (evaporation and transpiration stress factor) outputs from the hybrid model developed in the study.</p>\n\n<p>Formats: All scripts are in the programming language Python. The datasets are in HDF5 and NetCDF file formats.</p>\n\n<p>The codes related to the research article and deep learning model are available in the following repository: https://github.com/akashkoppa/StressNet</p>",
"author": [
{
"family": "Koppa, Akash"
},
{
"family": "Rains, Dominik"
},
{
"family": "Hulsman, Petra"
},
{
"family": "Poyatos, Rafael"
},
{
"family": "Miralles, Diego G."
}
],
"type": "dataset",
"id": "5886608"
}
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| All versions | This version | |
|---|---|---|
| Views | 1,016 | 468 |
| Downloads | 6,513 | 541 |
| Data volume | 182.1 TB | 12.6 TB |
| Unique views | 864 | 422 |
| 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