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Han Wang, Ping-an Zhong, Ervin Zsoter, Christel Prudhomme, Florian Pappenberger and Bin Xu
Our paper aims to improve flood forecasting by establishing whether a global hydrological forecast system could be used as an alternative to a regional system, or whether it could provide additional information. This paper was based on the operational Gl...
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Stefan Kollet, Fabian Gasper, Slavko Brdar, Klaus Goergen, Harrie-Jan Hendricks-Franssen, Jessica Keune, Wolfgang Kurtz, Volker Küll, Florian Pappenberger, Stefan Poll, Silke Trömel, Prabhakar Shrestha, Clemens Simmer and Mauro Sulis
Operational weather and flood forecasting has been performed successfully for decades and is of great socioeconomic importance. Up to now, forecast products focus on atmospheric variables, such as precipitation, air temperature and, in hydrology, on rive...
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Bo Qu, Xingnan Zhang, Florian Pappenberger, Tao Zhang, Yuanhao Fang
Pág. 1 - 13
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to ...
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