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Seamless probabilistic MUlti-source Forecasting of heavy rainfall hazards for European Flood awareness: SMUFF project

Koistinen, J.; von Lerber, A.; Pulkkinen, S.; Sinisalo, H.; Berenguer, M.; Park, S.; Sempere-Torres, D.
Type of activity
Presentation of work at congresses
Name of edition
EGU General Assembly 2019
Date of publication
Presentation's date
Book of congress proceedings
Geophysical Research Abstracts Vol. 21
First page
Last page
Project funding
Seamless probabilistic multi-source forecasting of heavy rainfall hazards for European flood awareness
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-14302.pdf Open in new window
Last years, the policies to reduce the impacts caused by severe storms and heavy precipitation include adaptive risk management approaches (e.g. the Flood Risk Management Plans promoted by the EU Flood Directive, which identified the importance of Early Warning Systems). In this context, the development of tools capitalizing on the recent advances in real-time systems (including observations, improved capacity to anticipate the phenomena and their impacts, and characterization of the uncertainty...
Group of research
CRAHI - Center of Applied Research in Hydrometeorology


  • Koistinen, Jarmo  (author and speaker )
  • von Lerber, Annakaisa  (author and speaker )
  • Pulkkinen, Seppo  (author and speaker )
  • Sinisalo, Heikki  (author and speaker )
  • Berenguer Ferrer, Marc  (author and speaker )
  • Park, Shinju  (author and speaker )
  • Sempere Torres, Daniel  (author and speaker )