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收藏Flood forecasting with machine learning models in an operational framework
Nevo, Sella; Morin, Efrat; Rosenthal, Adi Gerzi; Metzger, Asher; Barshai, Chen; Weitzner, Dana; Voloshin, Dafi; Kratzert, Frederik; Elidan, Gal; Dror, Gideon; Begelman, Gregory; Nearing, Grey; Shalev, Guy; Noga, Hila; Shavitt, Ira; Yuklea, Liora; Royz, Moriah; Giladi, Niv; Levi, Nofar Peled; Reich, Ofir; Gilon, Oren; Maor, Ronnie; Timnat, Shahar; Shechter, Tal; Anisimov, Vladimir; Gigi, Yotam; Levin, Yuval; Moshe, Zach; Ben-Haim, Zvika; Hassidim, Avinatan; Matias, Yossi
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收藏The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)
Mai, 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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收藏Deep learning rainfall-runoff predictions of extreme events
Frame, 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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收藏Hydrological concept formation inside long short-term memory (LSTM) networks
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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