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- W2018794328 abstract "AbstractOpen data make it possible to set up multi-basin models for large domains across environmental, climate and administrative boundaries. This study presents new methods for evaluating a number of aspects of multi-basin model performance, while exploring the performance of the E-HYPE_v2.1 model for several evaluation criteria in 181 independent river gauges across the European continent. Embedded model assumptions on dominant flow generating mechanisms are analysed by correlating physiographical characteristics to the flow regime. The results indicate that the model captures the spatial variability of flow and is therefore suitable for predictions in ungauged basins. The model shows good performance of long-term means and seasonality, while short-term daily variability is less well represented, especially for Mediterranean and mountainous areas. Major identified shortcomings refer to the resolution of precipitation patterns, aquifer exchanges, water extractions and regulation. This will guide the wor..." @default.
- W2018794328 created "2016-06-24" @default.
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- W2018794328 date "2015-12-14" @default.
- W2018794328 modified "2023-10-17" @default.
- W2018794328 title "Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe" @default.
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- W2018794328 doi "https://doi.org/10.1080/02626667.2015.1027710" @default.
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