Behind the scenes of streamflow model performance
نویسندگان
چکیده
Abstract. Streamflow is often the only variable used to evaluate hydrological models. In a previous international comparison study, eight research groups followed an identical protocol calibrate 12 models using observed streamflow of catchments within Meuse basin. current we quantify differences in five states and fluxes these process-based with similar performance, systematic comprehensive way. Next, assess model behavior plausibility by ranking for set criteria remote-sensing data evaporation, snow cover, soil moisture total storage anomalies. We found substantial dissimilarities between annual interception seasonal evaporation rates, number days water stored as snow, mean maximum size root-zone capacity. These internal process representation imply that cannot all simultaneously be close reality. Modeled rates are consistent Global Land Evaporation Amsterdam Model (GLEAM) estimates. However, there large uncertainty modeled interception. Substantial also Moderate Resolution Imaging Spectroradiometer (MODIS) storage. Models relatively small capacities without root uptake reduction under dry conditions tend have empty several each summer, while this not suggested vegetation indices. On other hand, overestimate very anomalies Gravity Recovery Climate Experiment (GRACE). None systematically information available from different (remote-sensing) sources. Yet did reject given uncertainties sources their changing relevance system investigation.
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2021
ISSN: ['1607-7938', '1027-5606']
DOI: https://doi.org/10.5194/hess-25-1069-2021