Snow Hydrology

The research group «Snow Hydrology» investigates snow as a component of the hydrological cycle. In the Alps a significant percentage of precipitation comes in the form of snow. The timing of snow melt thus influences the annual dynamics of runoff from alpine watersheds. Of particular interest for our research is to enhance estimations of snow water resources and subsequent melt water discharge.

The research group covers a broad range of projects and methods. The latest measuring techniques are used to investigate snow distribution patterns in alpine terrain, e.g. laser scanning or radar technology. We use different types of numerical models to calculate snow water resources based on input data from meteorological monitoring networks. These models are being used to predict the consequences of climate change on the water balance of mountain watersheds. The models also constitute a valuable tool for our operational services, such as periodic snow hydrological bulletins, which contribute to the federal flood prevention and forecasting system.

The research group «Snow Hydrology» is based in Davos and ensures the link between other Davosian research groups and the research unit ”Mountain Hydrology and Mass Movements” in Birmensdorf.

Topics

Projects

The main objective of SnowInflow is to reduce errors in inflow forecasts for hydropower producers during the critical snowmelt period. SLF will contribute with improved physics-based snow models and associated data assimilation schemes.

The rock slope instability "Spitze Stei" constitutes a risk for the touristic infrastructure around lake Öschinensee and the village Kandersteg. Our project task will investigate the mechanisms which led to the slope destabilisation and analyse scenarios for slope failures.

Die Schneedaten-Produkte sind das am zweithäufigsten genutzte Produkt der WSL/SLF (Winkler, 2015). Um eine Neuauflage der Produkte als Echtzeit-Datenprodukte und auf Basis von Rasterdaten realisieren zu können, wird ein OSHD-Prognosemodell zu einem Reanalyse-Modell weiterentwickelt.

The CCAMM cluster "Cascading Processes"develops knowledge and models that can be used to anticipate future cascading events.

Within the project cluster “Cascading Processes”, different research groups at the WSL/SLF will develop knowledge and models that can be used to anticipate future cascading events.

show more

Staff

Snow Hydrology

Tobias Jonas

Group leader

Patricia Asemann

PhD student

Bertrand Frédéric Cluzet

Scientific staff member

Vincent Haagmans

PhD student

Cassie Anne Lumbrazo

Visiting scientist

Jan Magnusson

Scientific staff member

Giulia Mazzotti

Visiting scientist

Rebecca Mott-Grünewald

Scientific staff member

Moritz Oberrauch

PhD student

Jens Oprel

PhD student

Louis Quéno

Scientific staff member

Michael Schirmer

Visiting scientist

Maximilian Sesselmann

PhD student

Clare Webster

Scientific staff member

Tobias Zolles

Postdoc

×