Dataset Open Access
Koppa, Akash;
Rains, Dominik;
Hulsman, Petra;
Miralles, Diego G.
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.5220753", "language": "eng", "title": "A Deep Learning-Based Hybrid Model of Global Terrestrial Evaporation", "issued": { "date-parts": [ [ 2021, 8, 19 ] ] }, "abstract": "<p>This repository contains the codes and 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) 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.</p>\n\n<p>Formats: All scripts are in the programming language Python. The datasets are in HDF5 and NetCDF formats</p>", "author": [ { "family": "Koppa, Akash" }, { "family": "Rains, Dominik" }, { "family": "Hulsman, Petra" }, { "family": "Miralles, Diego G." } ], "type": "dataset", "id": "5220753" }
All versions | This version | |
---|---|---|
Views | 917 | 509 |
Downloads | 6,466 | 5,969 |
Data volume | 181.2 TB | 169.5 TB |
Unique views | 780 | 464 |
Unique downloads | 255 | 125 |