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- W411801605 abstract "This paper uses a recently proposed measure of hydrological model complexity in a model selection exercise. It demonstrates that a robust hydrological model is selected by penalizing model complexity while maximizing a model performance measure. This especially holds when limited data is available. Here by a robust model, we mean a model that predicts a variable of interest conditioned on future input forcing better than a model that is fitted on limited data. We demonstrate this on a rainfall-runoff model structure, SAC-SMA, using MOPEX data set of Guadalupe river basin." @default.
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- W411801605 date "2014-06-15" @default.
- W411801605 modified "2023-09-27" @default.
- W411801605 title "Complexity regularized hydrological model selection" @default.
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