How does climate change affect mesoscale catchments in Switzerland? – a framework for a comprehensive assessment

Abstract

Abstract. Within the framework of this study we identify mesoscale catchments in Switzerland that exhibit sensitivity towards a change in climate with a focus on alterations of the water balance and peak flow conditions. For this study, the hydrological modelling system PREVAH is used, which is a semi-distributed and conceptual yet process-oriented model forced with hourly meteorological input on basis of a spatial resolution of 500×500 m 2 . We calibrate the model where measured discharge records are available and transfer the calibrated model parameters to ungauged catchments through regionalisation, to arrive at a comprehensive set of model parameters for the entire area of Switzerland. To assess future changes, we apply an extensive set of 16 Regional Climate Models (RCMs) to the catchments. The RCM data are downscaled to a dense network of meteorological stations for the period from 2021 to 2050 using the Delta Change Approach. This downscaling method incorporates a bias correction of the RCM output and provides change rates and values for precipitation and temperature.In the present paper we describe the application of a calibration and regionalisation procedure developed previously for Northern Alpine catchments to Southern catchments. The necessity to differentiate between a Northern and a Southern Alpine region, with their distinct climatologic and physiogeographic features, has proved true as the calibrated parameter sets show systematic differences between those regions, e.g. for the runoff forming parameters percolation rate (PERC) or storage time for quick runoff (KOH). For the Southern Alpine area, we calibrated two thirds of the available catchments, i.e. 23 out of 36, successfully for standard and flood conditions according to a combined model score of a linear and logarithmic Nash-Sutcliffe-Efficiency (NSE, NSE ln ) and a mean annual volumetric deviation (VD a ). TheCorrespondence to: N. Köplin (nina.koeplin@giub.unibe.ch) rate of successfully calibrated catchments is rather small in comparison with the results for the Northern Alpine catchments, where 140 out of 159 calibrations have been successful, and the distribution of the Southern catchments is more irregular. However, as the median NSE and NSE ln as well as the range of VD a show an overall good model fit, a successful regionalisation may be expected. Next steps are the regionalisation of the Southern Alpine model parameters and the application of climate scenarios to the complete set of catchments, i.e. about 200 Swiss mesoscale catchments with an average area of 150 km 2 . Thus we can identify process-based relationships between climate sensitivity and catchment characteristics and provide quantitative information on future water balance and peak flow conditions of Swiss mesoscale catchments.

Seasonality and magnitude of floods in Switzerland under future climate change

“…This is to assure the good representation of both the water balance and peak flows of a catchment, which was demonstrated in Köplin et al . (), Viviroli () and Viviroli et al . ().…”

Can a regionalized model parameterisation be improved with a limited number of runoff measurements?

“…This set consists of meso-scale catchments with long-term measurements (at least 20 years) and no significant direct human flow alterations, and covers the most relevant hydrological conditions in the Northern Alpine, Plateau and Jura regions of Switzerland. Catchments south of the main alpine ridge were not considered because there, hydropower production leads to a marked impairment of most observed hydrographs (see Margot et al, 1992;Köplin et al, 2010).…”

Pre-event water contributions and streamwater residence times in different land use settings of the transboundary mesoscale Lužická Nisa catchment

“…Upscaling of abundant process knowledge from small headwater catchments has been more widely performed to mesoscale catchments around 100 km 2 of area, for example in Switzerland (Köplin et al, 2014) and UK (Tetzlaff et al, 2007).…”