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Karst spring discharge modeling based on deep learning using spatially distributed input data
Karst spring discharge modeling based on deep learning using spatially distributed input data
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Karst spring discharge modeling based on deep learning using spatially distributed input data

Wunsch, Andreas ; Liesch, Tanja ; Cinkus, Guillaume ; Ravbar, NataÅ¡a ; Chen, Zhao ; Mazzilli, Naomi ; Jourde, Hervé ; Goldscheider, Nico

Hydrology and earth system sciences, 2022-05, Vol.26 (9), p.2405-2430 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
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Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning

Wunsch, Andreas ; Liesch, Tanja ; Goldscheider, Nico

Hydrology and earth system sciences, 2024-05, Vol.28 (9), p.2167-2178 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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4
Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation
Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation
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Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation

Longenecker, Jake ; Bechtel, Timothy ; Chen, Zhao ; Goldscheider, Nico ; Liesch, Tanja ; Walter, Robert

Geophysical research letters, 2017-05, Vol.44 (10), p.4926-4932 [Revista revisada por pares]

Washington: John Wiley & Sons, Inc

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5
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
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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

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

Hydrology and earth system sciences, 2023-05, Vol.27 (10), p.1961-1985 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
Global analysis reveals climatic controls on the oxygen isotope composition of cave drip water
Global analysis reveals climatic controls on the oxygen isotope composition of cave drip water
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Global analysis reveals climatic controls on the oxygen isotope composition of cave drip water

Baker, Andy ; Hartmann, Andreas ; Duan, Wuhui ; Hankin, Stuart ; Comas-Bru, Laia ; Cuthbert, Mark O ; Treble, Pauline C ; Banner, Jay ; Genty, Dominique ; Baldini, Lisa M ; Bartolomé, Miguel ; Moreno, Ana ; Pérez-Mejías, Carlos ; Werner, Martin

Nature communications, 2019-07, Vol.10 (1), p.2984-7, Article 2984 [Revista revisada por pares]

England: Nature Publishing Group

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