Affiliation: | 1. Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China;2. Biogeochemistry Department, Czech Geological Survey, Prague, Czech Republic The Czech Academy of Sciences, Global Change Research Institute, Brno, Czech Republic;3. Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou, China;4. The Czech Academy of Sciences, Global Change Research Institute, Brno, Czech Republic Meteorology and Climatology Department, The Czech Hydrometeorological Institute, Brno, Czech Republic;5. The Czech Academy of Sciences, Global Change Research Institute, Brno, Czech Republic |
Abstract: | Climate warming is having profound effects on the hydrological cycle by increasing atmospheric demand, changing water availability, and snow seasonality. Europe suffered three distinct heat waves in 2019, and 11 of the 12 hottest years ever recorded took place in the past two decades, which will potentially change seasonal streamflow patterns and long-term trends. Central Europe exhibited six dry years in a row since 2014. This study uses data from a well-documented headwater catchment in Central Europe (Lysina) to explore hydrological responses to a warming climate. We applied a lumped parameter hydrologic model Brook90 and a distributed model Penn State Integrated Hydrologic Model (PIHM) to simulate long-term hydrological change under future climate scenarios. Both models performed well on historic streamflow and in agreement with each other according to the catchment water budget. In addition, PIHM was able to simulate lateral groundwater redistribution within the catchment validated by the groundwater table dynamics. The long-term trends in runoff and low flow were captured by PIHM only. We applied different EURO-CORDEX models with two emission scenarios (Representative Concentration Pathways RCP 4.5, 8.5) and found significant impacts on runoff and evapotranspiration (ET) for the period of 2071–2100. Results from both models suggested reduced runoff and increased ET, while the monthly distribution of runoff was different. We used this catchment study to understand the importance of subsurface processes in projection of hydrologic response to a warming climate. |