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AndreasWunsch authored Oct 21, 2022
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Expand Up @@ -5,13 +5,13 @@ doi of this repo:
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5184692.svg)](https://doi.org/10.5281/zenodo.5184692)

doi of according publication:
*https://doi.org/10.5194/hess-2021-403*
*https://doi.org/10.5194/hess-26-2405-2022*

This repository provides example model code according to:

**Wunsch, A., Liesch, T., Cinkus, G., Ravbar, N., Chen, Z., Mazzilli, N., Jourde, H., and Goldscheider, N.: Karst spring discharge modeling based on deep learning using spatially distributed input data, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-403, Accepted, 2022.**
**Wunsch, A., Liesch, T., Cinkus, G., Ravbar, N., Chen, Z., Mazzilli, N., Jourde, H., and Goldscheider, N.: Karst spring discharge modeling based on deep learning using spatially distributed input data, Hydrol. Earth Syst. Sci., 26, 2405–2430, 2022, https://doi.org/10.5194/hess-26-2405-2022.**

Contact: [andreas.wunsch@kit.edu](andreas.wunsch@kit.edu)
Contact: [wunsch.andreas.edu@gmail.com](wunsch.andreas.edu@gmail.com)

ORCIDs of first author:
A. Wunsch: [0000-0002-0585-9549](https://orcid.org/0000-0002-0585-9549)
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