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A Comparison of Six Transport Models of the MADE‐1 Experiment Implemented with Different Types of Hydraulic Data 期刊论文
Water Resources Research, 2021
作者:  Alraune Zech;  Sabine Attinger;  Alberto Bellin;  Vladimir Cvetkovic;  Gedeon Dagan;  Marco Dentz;  Peter Dietrich;  Aldo Fiori;  Georg Teutsch
收藏  |  浏览/下载：9/0  |  提交时间：2021/05/07
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13
machine learning  inference  floods  
A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 990-1010
作者:  Baroni, Gabriele;  Schalge, Bernd;  Rakovec, Oldrich;  Kumar, Rohini;  Schueler, Lennart;  Samaniego, Luis;  Simmer, Clemens;  Attinger, Sabine
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/26
hydrological models  assessments  monitoring strategies  improvements