Ongoing Research Projects
Intelligent parameter sampling (IntelSamp)
Aim: Among different uncertainty sources, the parameter uncertainty is most often considered in environmental modeling. This parameter uncertainty is usually estimated by means of resampling from the possible parameter space and the resulting uncertainty estimates are communicated in terms of ensembles. This project aims at developing an innovative method to select a representative sample of ensemble members and model parameters to be used within a complex model chain (i.e., with numerous input or future scenarios). In this way, computational and time requirements of estimating uncertainty ensembles should be optimized.
Contact: Anna Sikorska-Senoner
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
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
Extreme floods in Switzerland
Aim: Provide a consistent basis for the assessment of flood hazards in all of Switzerland. The corresponding hydrometeorological scenarios are developed for a wide range of scales and return periods, using a simulation chain consisting of weather generators, hydrological modelling and hydrological routing.
Collaborations: University of Bern, University of Graz, University of Grenoble
Sponsors: Swiss Federal Office for the Environment (FOEN), Swiss Federal Office of Energy (SFOE)
Former Research Projects
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