EXPRIMA

The EXPRIMA FED-tWIN profile between KU Leuven’s Hydraulics and Geotechnics Section and the Royal Meteorological Institute of Belgium aims to address the following key research questions:

1. Seamless prediction: how to optimally combine the latest observations and model output to develop a seamless, rapidly updating weather prediction system?
2. Data assimilation: how to overcome the challenges of assimilating high-resolution and novel meteorological observations at convection-permitting spatial scales?
3. Ensemble prediction: how to fully leverage the probabilistic information of an ensemble prediction system to generate (impact-based) warnings?
4. Insights from dynamical systems theory: can we employ these recent insights to characterize the predictability of precipitation and use this information to improve precipitation forecasts?
5. Towards impact-based warnings: how to design a fast, fully integrated impact-based warning system, covering multiple aspects of extreme precipitation such as pluvial flooding, hail, and droughts?
6. Societal and public service relevance: how to advise stakeholders in the integration of probabilistic forecasts with their exposure and vulnerability information to develop effective crisis management, prevention, relief and information strategies?