On this webpage selected research projects are briefly introduced.
Contributions of snow and ice to streamflow of glacierized headwater catchments
The aims of this project are to quantify the past and present streamflow components in all Swiss glacierized headwater catchments, and to predict changes for the future using CH2018 climate scenarios. This will contribute to a better understanding of the potential risks of changed streamflow dynamics, especially for extreme events, due to climatic variations and changes.
Collaboration: University of Freiburg (DE)
Contact: Daphné Freudiger
Assessing the value of groundwater and phenological data to improve low flow simulations
Aim: Drought is a complex natural hazard that impacts ecosystems and society in multiple ways. Many of these impacts are associated with hydrological drought, visible as below average streamflow, lake or groundwater levels. Hydrological droughts impact ecology, agriculture, power generation, drinking water supply, river navigation, but also water-based tourism. However, hydrological models are traditionally designed to simulate peak flows as good as possible - often at the cost of the quality of low flow simulations.
The aim of this project is to systematically investigate the value of phenological and groundwater data to improve low flow simulation.
Contact: Maria Staudinger
Re-thinking the snow routine of HBV-light
Aim: Review and assess potential changes to the snow routine of the HBV-light hydrological model in order to increase its realism but preserving the model’s characteristic simplicity. Potential modifications include variations of the current degree-day method for snowmelt estimation or the use of additional data sources such as radiation or relative humidity data.
Collaboration: Charles University in Prague (CUNI), WSL Institute for Snow and Avalanche Research (SLF)
Contact: Marc Girons Lopez
Value of radar-based data for flood modelling
Aim: This project explores the value of radar data for supporting flood modelling and flood predictions in Switzerland, as compared to the information acquired from a traditional rain gauge network. In particular, we analyse how radar-based precipitation products contribute to input and predictive uncertainty in flood estimates in a small fast reacting catchment.
Collaboration: Anna Sikorska (H2K), Jan Seibert (H2K), Ioannis Sideris (MeteoSwiss), Urs Germann (MeteoSwiss)
Contact: Anna Sikorska
Hazard information for extreme flood events on the rivers Aare and Rhine (EXAR)
Aim: Provide a basis for assessing the hazard from extreme flood events on the Aare River (and, in a second phase, on the Rhine River). To this end, a number of statistical and model-based weather scenarios are developed and then evaluated with help of hydrological and hydraulic modelling.
Collaborations: Swiss Federal Institute of Technology in Lausanne (EPFL), Swiss Federal Institute of Technology in Zurich (ETH), Grenoble University, University of Bern
Sponsors: Swiss Federal Office for the Environment (FOEN), Swiss Federal Office of Energy (SFOE), Swiss Federal Nuclear Safety Inspectorate (ENSI), Swiss Federal Office for Civil Protection (FOCP), Swiss Federal Office of Meteorology and Climatology (MeteoSwiss)