A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation
Description
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
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-5220753 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-5220753 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-5220753 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-5220753 |
Tags
- hybrid-modeling
- transpiration
- deep-learning
- evaporation
- evaporative-stress
- gleam
- earth-system-modeling
- machine-learning