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Martin Gauch
Martin Gauch
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Year
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
M Gauch, F Kratzert, D Klotz, G Nearing, J Lin, S Hochreiter
Hydrology and Earth System Sciences 25 (4), 2045-2062, 2021
1562021
Deep learning rainfall-runoff predictions of extreme events
J Frame, F Kratzert, D Klotz, M Gauch, G Shelev, O Gilon, LM Qualls, ...
Copernicus GmbH, 2021
1212021
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction
M Gauch, J Mai, J Lin
Environmental Modelling & Software 135, 104926, 2021
1212021
Uncertainty estimation with deep learning for rainfall–runoff modeling
D Klotz, F Kratzert, M Gauch, A Keefe Sampson, J Brandstetter, ...
Hydrology and Earth System Sciences 26 (6), 1673-1693, 2022
992022
Hydrological concept formation inside long short-term memory (LSTM) networks
T Lees, S Reece, F Kratzert, D Klotz, M Gauch, J De Bruijn, R Kumar Sahu, ...
Hydrology and Earth System Sciences Discussions 2021, 1-37, 2021
832021
Caravan-A global community dataset for large-sample hydrology
F Kratzert, G Nearing, N Addor, T Erickson, M Gauch, O Gilon, ...
Scientific Data 10 (1), 61, 2023
522023
The great lakes runoff intercomparison project phase 4: the great lakes (GRIP-GL)
J Mai, H Shen, BA Tolson, ╔ Gaborit, R Arsenault, JR Craig, V Fortin, ...
Hydrology and Earth System Sciences 26 (13), 3537-3572, 2022
472022
NeuralHydrology—A Python library for Deep Learning research in hydrology
F Kratzert, M Gauch, G Nearing, D Klotz
Journal of Open Source Software 7 (71), 4050, 2022
392022
Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
GS Nearing, D Klotz, JM Frame, M Gauch, O Gilon, F Kratzert, ...
Hydrology and Earth System Sciences 26 (21), 5493-5513, 2022
302022
Great Lakes runoff intercomparison project phase 3: Lake Erie (GRIP-E)
J Mai, BA Tolson, H Shen, ╔ Gaborit, V Fortin, N Gasset, H Awoye, ...
Journal of hydrologic engineering 26 (9), 05021020, 2021
202021
Data-driven vs. physically-based streamflow prediction models
M Gauch, J Mai, S Gharari, J Lin
Proceedings of the 9th International Workshop on Climate Informatics, Parisá…, 2019
192019
Caravan–A global community dataset for large-sample hydrology, Sci. Data, 10, 61
F Kratzert, G Nearing, N Addor, T Erickson, M Gauch, O Gilon, ...
162023
Conformal prediction for time series with Modern Hopfield Networks
A Auer, M Gauch, D Klotz, S Hochreiter
Advances in Neural Information Processing Systems 36, 2024
142024
Caravan-A global community dataset for large-sample hydrology, Scientific Data, 10, 61
F Kratzert, G Nearing, N Addor, T Erickson, M Gauch, O Gilon, ...
132023
In defense of metrics: Metrics sufficiently encode typical human preferences regarding hydrological model performance
M Gauch, F Kratzert, O Gilon, H Gupta, J Mai, G Nearing, B Tolson, ...
Water Resources Research 59 (6), e2022WR033918, 2023
122023
Global prediction of extreme floods in ungauged watersheds
G Nearing, D Cohen, V Dube, M Gauch, O Gilon, S Harrigan, A Hassidim, ...
Nature 627 (8004), 559-563, 2024
112024
A Data Scientist's Guide to Streamflow Prediction
M Gauch, J Lin
arXiv preprint arXiv:2006.12975, 2020
112020
Caravan-A global community dataset for large-sample hydrology Sci
F Kratzert, G Nearing, N Addor, T Erickson, M Gauch, O Gilon, ...
Data 10 (61), 10.1038, 2023
82023
Large-scale river network modeling using Graph Neural Networks
F Kratzert, D Klotz, M Gauch, C Klingler, G Nearing, S Hochreiter
EGU General Assembly Conference Abstracts, EGU21-13375, 2021
82021
HESS Opinions: Never train an LSTM on a single basin
F Kratzert, M Gauch, D Klotz, G Nearing
Hydrology and Earth System Sciences Discussions 2024, 1-19, 2024
72024
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Articles 1–20