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Unveiling the limits of deep learning models in hydrological extrapolation tasks Baste, S.; Klotz, D.; Acuña Espinoza, E.; Bardossy, A.; Loritz, R. 揭示深度学习模型在水文外推任务中的局限。Hydrol. Earth Syst. Sci. 2025, 29, 5871–5891. [Google Scholar] [CrossRef] Baste, Sanika; Klotz, Daniel; Espinoza, Eduardo Acuna; Bardossy, Andras; Loritz, Ralf 分享 收藏
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How well do process-based and data-driven hydrological models learn from limited discharge data? Staudinger, Maria; Herzog, Anna; Loritz, Ralf; Houska, Tobias; Pool, Sandra; Spieler, Diana; Wagner, Paul D.; Mai, Juliane; Kiesel, Jens; Thober, Stephan; Guse, Bjorn; Ehret, Uwe 分享 收藏
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CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany Loritz, Ralf; Dolich, Alexander; Espinoza, Eduardo Acuna; Ebeling, Pia; Guse, Bjorn; Gotte, Jonas; Hassler, Sibylle K.; Hauffe, Corina; Heidbuechel, Ingo; Kiesel, Jens; Maelicke, Mirko; Mueller-Thomy, Hannes; Stoelzle, Michael; Tarasova, Larisa 分享 收藏
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Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface-subsurface interactions Ozgen-Xian, Ilhan; Molins, Sergi; Johnson, Rachel M.; Xu, Zexuan; Dwivedi, Dipankar; Loritz, Ralf; Mital, Utkarsh; Ulrich, Craig; Yan, Qina; Steefel, Carl I. 分享 收藏
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