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How the performance of hydrological models relates to credibility of projections under climate change
Authors:Valentina Krysanova  Chantal Donnelly  Alexander Gelfan  Dieter Gerten  Berit Arheimer  Fred Hattermann
Affiliation:1. Research Domain 2: Climate Impacts and Vulnerabilities, Potsdam Institute for Climate Impact Research, Potsdam, Germanykrysanova@pik-potsdam.de;3. Hydrological Research Department, Swedish Meteorological and Hydrological Institute, Norrk?ping, Sweden;4. Watershed Hydrology Laboratory, Water Problems Institute of the Russian Academy of Sciences, Moscow, Russia;5. Research Domain 1: Earth System Analysis, Potsdam Institute for Climate Impact Research, Potsdam, Germany;6. Research Domain 2: Climate Impacts and Vulnerabilities, Potsdam Institute for Climate Impact Research, Potsdam, Germany
Abstract:Two approaches can be distinguished in studies of climate change impacts on water resources when accounting for issues related to impact model performance: (1) using a multi-model ensemble disregarding model performance, and (2) using models after their evaluation and considering model performance. We discuss the implications of both approaches in terms of credibility of simulated hydrological indicators for climate change adaptation. For that, we discuss and confirm the hypothesis that a good performance of hydrological models in the historical period increases confidence in projected impacts under climate change, and decreases uncertainty of projections related to hydrological models. Based on this, we find the second approach more trustworthy and recommend using it for impact assessment, especially if results are intended to support adaptation strategies. Guidelines for evaluation of global- and basin-scale models in the historical period, as well as criteria for model rejection from an ensemble as an outlier, are also suggested.
Keywords:hydrological model performance  climate change impact  uncertainty of projections  calibration and validation  rejecting model as outlier  guidelines for model evaluation
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