Catchment Hydrology


Water resources management relies on predictions of dominant hydrological processes at the catchment scale, to quantify available water resources for current and future situations or to predict possible extremes.

Current hydrological models often rely on poor quality observations of the water cycle (in particular precipitation, discharge. evaporation). Our team is working to combine state of the art monitoring and modeling of water resources at the catchment scale. We are developing the use of stable isotopes of water as a tool for uncertainty prediction. We aim to asses the origin of available water resources and unravel shortcomings in hydrologic predictions, with a currently strong focus on Alpine hydrology.

Current Team
• Prof. Bettina Schaefli, Assistant-professor SNF and team leader
• Dr. Natalie Ceperley, Post-doctoral researcher
• PhD Student: Anthony Michelon, Beria Harsh, Moctar Dembele

Research Projects
• Catchment-scale hydrological input-output modeling
• Field monitoring of the Vallon de Nant, including hydrologic and meteorologic parameters, and measures of stable isotopes of water
• Coupling of experimental and modeling work
• Quantification of uncertainty in catchment hydrology
• Continuous autonomous water sampler design for monitoring of stable isotopes in precipitation, surface, and soil water
• Hydrologic impact of alpine vegetation
• Water Accounting Plus for improved water management

The 2016 summer and winter field seasons will be very active. Please get in touch if you are interested in collaborating or working with us. We will have opportunities for internships, civil service, master's projects, and more.

Study Site


Met station