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Daniel Klotz

Google Incorporated

29H-index
176Paper Count
6.4KCitation Count
Published Papers 18
Publication Date
How to deal w___ missing input data
err2025-11-13
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errOAAI
errGauch, Martin; Kratzert, Frederik; Klotz, Daniel; Nearing, Grey; Cohen, Deborah; Gilon, Oren
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Unveiling the limits of deep learning models in hydrological extrapolation tasks
err2025-11-03
err3
errOAAI
errBaste, Sanika; Klotz, Daniel; Espinoza, Eduardo Acuna; Bardossy, Andras; Loritz, Ralf
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Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell
err2025-03-26
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errOAAI
errAcuna Espinoza, Eduardo; Kratzert, Frederik; Klotz, Daniel; Gauch, Martin; alvarez Chaves, Manuel; Loritz, Ralf; Ehret, Uwe
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Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
err2025-03-11
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errEspinoza, Eduardo Acuna; Loritz, Ralf; Kratzert, Frederik; Klotz, Daniel; Gauch, Martin; Chaves, Manuel Alvarez; Ehret, Uwe
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A data-centric perspective on the information needed for hydrological uncertainty predictions
err2024-09-12
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errOAAI
errAuer, Andreas; Gauch, Martin; Kratzert, Frederik; Nearing, Grey; Hochreiter, Sepp; Klotz, Daniel
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HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
err2024-09-12
err18
errOAAI
errKratzert, Frederik; Gauch, Martin; Klotz, Daniel; Nearing, Grey
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Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
err2022-11-04
err20
errOAAI
errNearing, Grey S.; Klotz, Daniel; Frame, Jonathan M.; Gauch, Martin; Gilon, Oren; Kratzert, Frederik; Sampson, Alden Keefe; Shalev, Guy; Nevo, Sella
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The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)
err2022-07-08
err48
errOAAI
errMai, Juliane; Shen, Hongren; Tolson, Bryan A.; Gaborit, Etienne; Arsenault, Richard; Craig, James R.; Fortin, Vincent; Fry, Lauren M.; Gauch, Martin; Klotz, Daniel; Kratzert, Frederik; O'Brien, Nicole; Princz, Daniel G.; Koya, Sinan Rasiya; Roy, Tirthankar; Seglenieks, Frank; Shrestha, Narayan K.; Temgoua, Andre G. T.; Vionnet, Vincent; Waddell, Jonathan W.
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Deep learning rainfall-runoff predictions of extreme events
err2022-07-05
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errOAAI
errFrame, Jonathan M.; Kratzert, Frederik; Klotz, Daniel; Gauch, Martin; Shalev, Guy; Gilon, Oren; Qualls, Logan M.; Gupta, Hoshin, V; Nearing, Grey S.
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Hydrological concept formation inside long short-term memory (LSTM) networks
err2022-06-20
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errOAAI
errLees, Thomas; Reece, Steven; Kratzert, Frederik; Klotz, Daniel; Gauch, Martin; De Bruijn, Jens; Kumar Sahu, Reetik; Greve, Peter; Slater, Louise; Dadson, Simon J.
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Uncertainty estimation with deep learning for rainfall-runoff modeling
err2022-03-31
err75
errOAAI
errKlotz, Daniel; Kratzert, Frederik; Gauch, Martin; Sampson, Alden Keefe; Brandstetter, Johannes; Klambauer, Gunter; Hochreiter, Sepp; Nearing, Grey
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Rainfall-runoff prediction at multiple timescales with a single Long Short-Term Memory network
err2021-04-19
err166
errOAAI
errGauch, Martin; Kratzert, Frederik; Klotz, Daniel; Nearing, Grey; Lin, Jimmy; Hochreiter, Sepp
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Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
err2019-12-17
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errKratzert, Frederik; Klotz, Daniel; Shalev, Guy; Klambauer, Guenter; Hochreiter, Sepp; Nearing, Grey
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Rainfall-runoff modelling using Long Short-Term Memory (LSTM) networks
err2018-11-22
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errKratzert, Frederik; Klotz, Daniel; Brenner, Claire; Schulz, Karsten; Herrnegger, Mathew
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Demonstrating the unit hydrograph and flow routing processes involving active student participation - a university lecture experiment
err2018-05-02
err3
errOAAI
errSchulz, Karsten; Burgholzer, Reinhard; Klotz, Daniel; Wesemann, Johannes; Herrnegger, Mathew
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