Showing 1 - 11 results of 11 for search 'T. Liesch', query time: 0.02s
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On the challenges of global entity-aware deep learning models for groundwater level prediction by B. Heudorfer, T. Liesch, S. Broda
Published 2024-02-01
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Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods by M. Ohmer, T. Liesch, A. Wunsch
Published 2022-08-01
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Karst spring discharge modeling based on deep learning using spatially distributed input data by A. Wunsch, T. Liesch, G. Cinkus, N. Ravbar, Z. Chen, N. Mazzilli, H. Jourde, N. Goldscheider
Published 2022-05-01
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When best is the enemy of good – critical evaluation of performance criteria in hydrological models by G. Cinkus, N. Mazzilli, H. Jourde, A. Wunsch, T. Liesch, N. Ravbar, Z. Chen, N. Goldscheider
Published 2023-07-01
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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 by G. Cinkus, A. Wunsch, N. Mazzilli, T. Liesch, Z. Chen, N. Ravbar, J. Doummar, J. Fernández-Ortega, J. A. Barberá, B. Andreo, N. Goldscheider, H. Jourde
Published 2023-05-01
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