Andreas Wunsch

发表

Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods

M. Ohmer, T. Liesch, Andreas Wunsch, 2022, Hydrology and Earth System Sciences.

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

H. Jourde, Zhao Chen, N. Goldscheider, 2022, Hydrology and Earth System Sciences.

Comment on hess-2022-56 process

Andreas Wunsch, 2022 .

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

Stefan Broda, Andreas Wunsch, Tanja Liesch, 2018, Journal of Hydrology.

Karst modelling challenge 1: Results of hydrological modelling

Y. Liu, Christoph Butscher, L. Gill, 2021 .

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

S. Broda, T. Liesch, Andreas Wunsch, 2021, Water Resources Management.

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)

Stefan Broda, Andreas Wunsch, Tanja Liesch, 2021, Hydrology and Earth System Sciences.

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

S. Broda, T. Liesch, Andreas Wunsch, 2021, Nature Communications.

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

H. Jourde, Zhao Chen, N. Goldscheider, 2021, Hydrology and Earth System Sciences.

Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practices

M. Ohmer, T. Liesch, Andreas Wunsch, 2023, Frontiers in Water.

When best is the enemy of good – critical evaluation of performance criteria in hydrological models

H. Jourde, Zhao Chen, N. Goldscheider, 2023, Hydrology and Earth System Sciences.

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

H. Jourde, Zhao Chen, N. Goldscheider, 2023, Hydrology and Earth System Sciences.

Groundwater Level Forecasting with Artificial Neural Networks: A Comparison of LSTM, CNN and NARX

Stefan Broda, Andreas Wunsch, Tanja Liesch, 2020 .

Aquifer responses to long-term climatic periodicities

T. Liesch, Andreas Wunsch, 2019, Journal of Hydrology.