Dataset Open Access
A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Miralles, Diego G.
This repository contains the codes and datasets used in the research article "A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation".
The repository contains the following files: 1) Codes - contains scripts used for training the deep learning models used in the study, and for creating the figures in the article. 2) Input - contains all the processed input used for training the deep learning models and the datasets used for creating the figures in the article. 3) Output - contains the final deep learning models and the outputs (evaporation and transpiration stress factor) outputs from the hybrid model developed in the study.
Formats: All scripts are in the programming language Python. The datasets are in HDF5 and NetCDF formats
| Name | Size | |
|---|---|---|
|
code_koppa_et_al_hybrid_model.zip
md5:ef1307b7432000c8c04d8c88705e4112 |
30.5 kB | Download |
|
input_koppa_et_al_hybrid_model.zip
md5:7886621409904deae90fdf4a3dfb22e6 |
1.5 GB | Download |
|
output_koppa_et_al_hybrid_model.zip
md5:0b1432afdb97fdc16951c19fad92d8f0 |
28.8 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 840 | 495 |
| Downloads | 6,445 | 5,968 |
| Data volume | 180.8 TB | 169.5 TB |
| Unique views | 713 | 450 |
| Unique downloads | 239 | 124 |
- 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)
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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