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Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles
Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles
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Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Water resources management, 2022, Vol.36 (1), p.39-54 [Revista revisada por pares]

Dordrecht: Springer Netherlands

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2
Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
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Deep learning shows declining groundwater levels in Germany until 2100 due to climate change

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Nature communications, 2022-03, Vol.13 (1), p.1221-1221, Article 1221 [Revista revisada por pares]

England: Nature Publishing Group

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3
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Journal of hydrology (Amsterdam), 2018-12, Vol.567, p.743-758 [Revista revisada por pares]

Elsevier B.V

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4
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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5
On the challenges of global entity-aware deep learning models for groundwater level prediction
On the challenges of global entity-aware deep learning models for groundwater level prediction
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On the challenges of global entity-aware deep learning models for groundwater level prediction

Heudorfer, Benedikt ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2024-02, Vol.28 (3), p.525-543 [Revista revisada por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

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

Copernicus GmbH

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7
Carbonate rocks and karst water resources in the Mediterranean region
Carbonate rocks and karst water resources in the Mediterranean region
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Carbonate rocks and karst water resources in the Mediterranean region

Xanke, Julian ; Goldscheider, Nico ; Bakalowicz, Michel ; Barberá, Juan Antonio ; Broda, Stefan ; Chen, Zhao ; Ghanmi, Mohamed ; Günther, Andreas ; Hartmann, Andreas ; Jourde, Hervé ; Liesch, Tanja ; Mudarra, Matías ; Petitta, Marco ; Ravbar, Nataša ; Stevanović, Zoran

Hydrogeology journal, 2024-08, Vol.32 (5), p.1397-1418 [Revista revisada por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Weekly groundwater level time series dataset for 118 wells in Germany
Weekly groundwater level time series dataset for 118 wells in Germany
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Weekly groundwater level time series dataset for 118 wells in Germany

Wunsch, Andreas ; Liesch, Tanja ; Broda, Stefan

Zenodo 2021

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9
Mediterranean Karst Aquifer Map 1:5,000,000 (MEDKAM)
Mediterranean Karst Aquifer Map 1:5,000,000 (MEDKAM)
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Mediterranean Karst Aquifer Map 1:5,000,000 (MEDKAM)

Xanke, Julian ; Goldscheider, Nico ; Michel, Bakalowicz ; Barberá, Juan Antonio ; Broda, Stefan ; Chen, Zhao ; Ghanmi, Mohamed ; Andreas, Günther ; Hartmann, A. ; Jourde, Hervé ; Liesch, Tanja ; Matías, Mudarra ; Petitta, Marco ; Ravbar, Natasa ; Stevanovic, Zoran

BGR, KIT, UNESCO 2022

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