Abstract
Through fine grid structure and explicit representation of deep convective processes, convection-permitting regional climate models (CPRCMs) bear great potential for improved assessment of climate and hydrology under current and future climatic conditions. For a robust assessment of the added value of CPRCMs as climate service for hydrological impact modelling, the current scope of research needs to be expanded by studies on further model structures and study areas. The paper presented here considers the non-hydrostatic model ICON-CLM 2.6.4 at 3 km resolution (ICON3km) and its driving model ICON-CLM 2.6.4 with parametrised convection at 12 km (ICON12km) for a study area of 13 210 km2 in East Central Germany, enclosing the small (107 km2) to medium-sized (529 km2) catchments of the upper and central part of the predominantly rural Weiße Elster river basin. The reanalysis-driven historical hourly air temperature, global radiation, relative humidity, wind speed and precipitation simulations are evaluated. ICON3km is further analysed for added value for discharge, soil moisture and evapotranspiration simulation using the distributed hydrological model WaSiM. Our results suggest primarily an improvement by ICON3km in the estimation of air temperature and summer global radiation, as well as a reduction of the overestimation of the left tail of the frequency distribution of wind speed. The most noticeable deficiencies of ICON3km are the strong overestimation of high precipitation intensity and too frequent heavy rainfall events. These shortcomings translate into a pronounced overestimation of discharge when uncorrected, dominating the hydrological impact estimations. As such, no added value in the use of ICON3km for hydrological impact modelling in the Weiße Elster basin was identified.
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CITATION STYLE
Wagner, O., Maleska, V., & Bouwer, L. M. (2026). Do convection-permitting regional climate models have added value for hydroclimatic simulations? A test case over small and medium-sized catchments in Germany. Hydrology and Earth System Sciences, 30(11), 3597–3621. https://doi.org/10.5194/hess-30-3597-2026
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