Deep learning rainfall–runoff predictions of extreme events von Frame, Jonathan M, Kratzert, Frederik, Klotz, Daniel, Gauch, Martin, Shelev, Guy, Gilon, Oren, Qualls, Logan M, Gupta, Hoshin V, Nearing, Grey S

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Generalizing Tree–Level Sap Flow Across the European Continent von Loritz, Ralf, Wu, Chen Huan, Klotz, Daniel, Gauch, Martin, Kratzert, Frederik, Bassiouni, Maoya

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Caravan - A global community dataset for large-sample hydrology von Kratzert, Frederik, Nearing, Grey, Addor, Nans, Erickson, Tyler, Gauch, Martin, Gilon, Oren, Gudmundsson, Lukas, Hassidim, Avinatan, Klotz, Daniel, Nevo, Sella, Shalev, Guy, Matias, Yossi

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The proper care and feeding of CAMELS: How limited training data affects streamflow prediction von Gauch, Martin, Mai, Juliane, Lin, Jimmy

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Rainfall-runoff prediction at multiple timescales with a single Long Short-Term Memory network von Gauch, Martin, Kratzert, Frederik, Klotz, Daniel, Nearing, Grey, Lin, Jimmy, Hochreiter, Sepp

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HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin von Kratzert, Frederik, Gauch, Martin, Klotz, Daniel, Nearing, Grey

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Hydrological concept formation inside long short-term memory (LSTM) networks von Lees, 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 von Klotz, Daniel, Kratzert, Frederik, Gauch, Martin, Keefe Sampson, Alden, Brandstetter, Johannes, Klambauer, Günter, Hochreiter, Sepp, Nearing, Grey

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Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions von Klotz, Daniel, Gauch, Martin, Kratzert, Frederik, Nearing, Grey, Zscheischler, Jakob

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A data-centric perspective on the information needed for hydrological uncertainty predictions von Auer, Andreas, Gauch, Martin, Kratzert, Frederik, Nearing, Grey, Hochreiter, Sepp, Klotz, Daniel

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In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance von Gauch, Martin, Kratzert, Frederik, Gilon, Oren, Gupta, Hoshin, Mai, Juliane, Nearing, Grey, Tolson, Bryan, Hochreiter, Sepp, Klotz, Daniel

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Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks von Nearing, 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) von Mai, Juliane, Shen, Hongren, Tolson, Bryan A., Gaborit, Étienne, Arsenault, Richard, Craig, James R., Fortin, Vincent, Fry, Lauren M., Gauch, Martin, Klotz, Daniel, Kratzert, Frederik, O'Brien, Nicole, Princz, Daniel G., Rasiya Koya, Sinan, Roy, Tirthankar, Seglenieks, Frank, Shrestha, Narayan K., Temgoua, André G. T., Vionnet, Vincent, Waddell, Jonathan W.

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Global prediction of extreme floods in ungauged watersheds von Nearing, Grey, Cohen, Deborah, Dube, Vusumuzi, Gauch, Martin, Gilon, Oren, Harrigan, Shaun, Hassidim, Avinatan, Klotz, Daniel, Kratzert, Frederik, Metzger, Asher, Nevo, Sella, Pappenberger, Florian, Prudhomme, Christel, Shalev, Guy, Shenzis, Shlomo, Tekalign, Tadele Yednkachw, Weitzner, Dana, Matias, Yossi

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Machine Learning for Streamflow Prediction von Gauch, Martin

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NeuralHydrology — A Python library for Deep Learning research in hydrology von Kratzert, Frederik, Gauch, Martin, Nearing, Grey, Klotz, Daniel

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Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) von Mai, Juliane, Tolson, Bryan A, Shen, Hongren, Gaborit, Étienne, Fortin, Vincent, Gasset, Nicolas, Awoye, Hervé, Stadnyk, Tricia A, Fry, Lauren M, Bradley, Emily A, Seglenieks, Frank, Temgoua, André G. T, Princz, Daniel G, Gharari, Shervan, Haghnegahdar, Amin, Elshamy, Mohamed E, Razavi, Saman, Gauch, Martin, Lin, Jimmy, Ni, Xiaojing, Yuan, Yongping, McLeod, Meghan, Basu, Nandita B, Kumar, Rohini, Rakovec, Oldrich, Samaniego, Luis, Attinger, Sabine, Shrestha, Narayan K, Daggupati, Prasad, Roy, Tirthankar, Wi, Sungwook, Hunter, Tim, Craig, James R, Pietroniro, Alain

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A Data Scientist's Guide to Streamflow Prediction von Gauch, Martin, Lin, Jimmy

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Niederschlags-Abfluss-Modellierung mit Long Short-Term Memory (LSTM) von Kratzert, Frederik, Gauch, Martin, Nearing, Grey, Hochreiter, Sepp, Klotz, Daniel

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Conformal Prediction for Time Series with Modern Hopfield Networks von Auer, Andreas, Gauch, Martin, Klotz, Daniel, Hochreiter, Sepp

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