EGU2020-13228, updated on 30 Nov 2021
https://doi.org/10.5194/egusphere-egu2020-13228
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Testing the simulation skill of hydrological models under transient climate conditions for European case studies

Ernesto Pasten-Zapata1, Paul Royer-Gaspard2, Rafael Pimentel3, Torben O. Sonnenborg1, Anthony Lemoine2, María José Pérez-Palazón3, Raphael Schneider1, and Christiana Photiadou4
Ernesto Pasten-Zapata et al.
  • 1Department of Hydrology, Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
  • 2Université Paris-Saclay, INRAE, UR HYCAR, Antony, France
  • 3Fluvial Dynamics and Hydrology Research Group. Andalusian Institute for Earth System Research, University of Cordoba, Córdoba, Spain
  • 4Hydrology Research and Development, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

Commonly, the analysis of climate change impacts on hydrology involves a series of steps that begin with a General Circulation Model followed by the application of a downscaling or bias correction method and then coupling the climate outputs to a hydrological model. Nevertheless, frequently the hydrological models employed in these analyses are not tested to assess their skill to simulate the hydrology of a catchment under changing climate regimes. We evaluate such skill by applying a Differential Split Sampling Test (DSST) using the available observations. The models are calibrated during the three most extreme dry (or wet) years and evaluated on the three most wet (or dry) years. The DSST is applied on three catchments located across Europe: Denmark, France and Spain. This spatial distribution allows us to evaluate the method on diverse climatic and hydrological regimes. Furthermore, the DSST is applied to three different models in each of the catchments and case-specific metrics are evaluated to determine the practical usefulness of the models. Based on the DSST results, we assign a weight to the hydrological models and drive them with six Euro-CORDEX Regional Climate Models to assess climate change scenarios for the case-specific metrics. This methodology allows us to increase the confidence of our projections considering the hydrological model uncertainty for transient climatic conditions.

How to cite: Pasten-Zapata, E., Royer-Gaspard, P., Pimentel, R., Sonnenborg, T. O., Lemoine, A., Pérez-Palazón, M. J., Schneider, R., and Photiadou, C.: Testing the simulation skill of hydrological models under transient climate conditions for European case studies, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13228, https://doi.org/10.5194/egusphere-egu2020-13228, 2020.

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