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A priori selection of hydrological model structures in modular modeling frameworks: Results from RRMT

    Dataset

    Description

    We evaluated 10 hydrological model structures on a large sample of catchments across Great Britain to test the importance of a priori model selection. Our results emphasize the importance of model structure selection based on explicit perceptual models. Here, we provide the data that may be most useful for future studies - summaries of model scores for each catchment from the Rainfall-Runoff Modelling Toolbox, and time-series of model output for each catchment from the 6 different model structures.
    Date made available23 Nov 2022
    PublisherUniversity of Bristol

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