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    More Complex is Not Necessarily Better in Large-Scale Hydrological Modeling: A Model Complexity Experiment across the Contiguous United States 

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 008:;page E1947
    Author(s): Ralf Merz; Arianna Miniussi; Stefano Basso; Karl-Jonas Petersen; Larisa Tarasova
    Publisher: American Meteorological Society
    Abstract: Conceptual hydrological models are irreplaceable tools for large-scale (i.e., from ­regional to global) hydrological predictions. Large-scale modeling studies typically strive to employ one single model structure regardless ...
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