Karst spring discharge modeling based on deep learning using spatially distributed input data von Wunsch, Andreas, Liesch, Tanja, Cinkus, Guillaume, Ravbar, NataÅ¡a, Chen, Zhao, Mazzilli, Naomi, Jourde, Hervé, Goldscheider, Nico

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Identification of relevant indicators for the assessment of karst systems hydrological functioning: Proposal of a new classification von Cinkus, Guillaume, Mazzilli, Naomi, Jourde, Hervé

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KarstID: an R Shiny application for the analysis of karst spring discharge time series and the classification of karst system hydrological functioning von Cinkus, Guillaume, Mazzilli, Naomi, Jourde, Hervé

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When best is the enemy of good – critical evaluation of performance criteria in hydrological models von Cinkus, Guillaume, Mazzilli, Naomi, Jourde, Hervé, Wunsch, Andreas, Liesch, Tanja, Ravbar, NataÅ¡a, Chen, Zhao, Goldscheider, Nico

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Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions von Cinkus, Guillaume, Wunsch, Andreas, Mazzilli, Naomi, Liesch, Tanja, Chen, Zhao, Ravbar, NataÅ¡a, Doummar, Joanna, Fernández-Ortega, Jaime, Barberá, Juan Antonio, Andreo, Bartolomé, Goldscheider, Nico, Jourde, Hervé

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Advancing the Understanding of Complex Piezometric Information: A Methodological Approach Integrating Long-Term Piezometry, Surface Nuclear Magnetic Resonance, and Fracture Analysi... von Bertrand, Mathieu, Bertrand, Catherine, Mazzilli, Naomi, Gigleux, Sylvain, Denimal, Sophie, Valois, Rémi, Girod, Lise-Marie, Cinkus, Guillaume, Busquet, Valentine, Chalikakis, Konstantinos

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Improvement of the KarstMod modeling platform for a better assessment of karst groundwater resources von Sivelle, Vianney, Cinkus, Guillaume, Mazzilli, Naomi, Labat, David, Arfib, Bruno, Massei, Nicolas, Cousquer, Yohann, Bertin, Dominique, Jourde, Hervé

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Discharge time series for Millet spring (fontaine de Vaucluse karst system) von Mazzilli, Naomi, Cinkus, Guillaume, Masseron, Léo, Emblanch, Christophe

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