Filters

2018 - 201912020 - 20211

More filters

2021 - 20232
Reset filters

Settings

Author: Krysanova, Valentina × Publisher: Wallingford : IAHS Press ×

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    How the performance of hydrological models relates to credibility of projections under climate change
    (Wallingford : IAHS Press, 2018) Krysanova, Valentina; Donnelly, Chantal; Gelfan, Alexander; Gerten, Dieter; Arheimer, Berit; Hattermann, Fred; Kundzewicz, Zbigniew W.
    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.
  • Thumbnail Image
    Item
    Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru
    (Wallingford : IAHS Press, 2021) Fernandez-Palomino, Carlos Antonio; Hattermann, Fred F.; Krysanova, Valentina; Vega-Jácome, Fiorella; Bronstert, Axel
    Most hydrological studies rely on a model calibrated using discharge alone. However, judging the model reliability based on such calibration is problematic, as it does not guarantee the correct representation of internal hydrological processes. This study aims (a) to develop a comprehensive multi-objective calibration framework using remote sensing vegetation data and hydrological signatures (flow duration curve–FDC, and baseflow index) in addition to discharge, and (b) to apply this framework for calibration of the Soil and Water Assessment Tool (SWAT) in a typical Andean catchment. Overall, our calibration approach outperformed traditional discharge-based and FDC signature-based calibration strategies in terms of vegetation, streamflow, and flow partitioning simulation. New hydrological insights for the region are the following: baseflow is the main component of the streamflow sustaining the long dry-season flow, and pasture areas offer higher water yield and baseflow than other land-cover types. The proposed approach could be used in other data-scarce regions with complex topography. © 2020 IAHS.