August 19, 2021 Dataset Open Access

Koppa, Akash; Rains, Dominik; Hulsman, Petra; Miralles, Diego G.

MARC21 XML Export

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    <subfield code="a">A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation</subfield>
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    <subfield code="a">&lt;p&gt;This repository contains the codes and datasets used in the research article &amp;quot;A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation&amp;quot;.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;Formats: All scripts are in the programming language Python. The datasets are in HDF5 and NetCDF formats&lt;/p&gt;</subfield>
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