Simulating future runoff in a complex terrain Alpine catchment with EURO-CORDEX data

JOURNAL OF HYDROMETEOROLOGY(2019)

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摘要
With large elevation gradients and high hydrometeorological variability, Alpine catchments pose special challenges to hydrological climate change impact assessment. Data from seven regional climate models run within the Coordinated Regional Climate Downscaling Experiments (CORDEX), each driven with a different boundary forcing, are used to exemplarily evaluate the reproduction of observed flow duration curves and access the future discharge of the Ammer River located in Alpine southern Germany applying the hydrological simulation model called the Water Flow and Balance Simulation Model (WaSiM). The results show that WaSiM reasonably reproduces the observed runoff for the entire catchment when driven with observed precipitation. When applied with CORDEX evaluation data (1989-2008) forced by ERA-Interim, the simulations underestimate the extreme runoff and reproduce the high percentile values with errors in the range from -37% to 55% with an ensemble mean of around 15%. Runs with historical data 1975-2005 reveal larger errors, up to 120%, with an ensemble mean of around 50% overestimation. Also, the results show a large spread between the simulations, primarily resulting from deficiencies in the precipitation data. Results indicate future changes for 2071-2100 in the 99.5th percentile runoff value of up to 9% compared to 1975-2005. An increase in high flows is also supported by flow return periods obtained from a larger sample of highest flows over 50 years, which reveals for 2051-2100 lower return periods for high runoff values compared to 1956-2005. Obtained results are associated with substantial uncertainties leading to the conclusion that CORDEX data at 0.11 degrees resolution are likely inadequate for driving hydrologic analyses in mesoscale catchments that require a high standard of fidelity for hydrologic simulation performance.
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关键词
Complex terrain,Rivers,Hydrometeorology,Climate models,Hydrologic models
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