Extreme Weather Events
Hydropower & Geothermal Energy
Post-Doctoral Fellowships
Switzerland
2011.03.17
Optimal risk-based decisions by maximizing extraction of environmental information for streamflow forecasts
To effectively combine real-time information and understanding of physical processes involved in droughts and floods, Dr.Weijs chose to focus on the Val Ferret watershed in the Alps. By balancing information flows from intensive measurements and state-of the art models, Weijs’s methods will be essential to move from detailed physical understanding to probabilistic streamflow forecasts that can be produced cost-effectively and inform decisions reducing flood and drought risks.
My research focuses on analysing how detailed measurements of environmental variables such as rainfall, soil moisture and temperature, contribute information to forecasts of river flows further downstream and ultimately contribute to risk-based informed decisions. To perform this analysis, the framework of information theory is used to follow information in its flow from observation to decision. Taking this integrated view can lead to new insights about model calibration, sensor network design, and probabilistic forecasting.
The art of streaming uncertainties
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Steven
WEIJS
Institution
École Polytechnique Fédérale de Lausanne
Country
Switzerland
Nationality
Dutch
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