%0 Conference Paper %F Poster %T Flood forecasting with machine Learning, data Assimilation and Semi-pHysical modeling %+ Laboratoire de Génie de l'Environnement Industriel (LGEI) %+ Service Central d'Hydrométéorologie et d'Appui à la Prévision des Inondations (SCHAPI) %A Visserot, Yann %A Artigue, Guillaume %A Ayral, Pierre-Alain %A Bornancin-Plantier, Audrey %A Johannet, Anne %A Janet, Bruno %A Marchandise, Arthur %A Wittwer, Caroline %< avec comité de lecture %B ERAD 2012 - The 7th European Conference on radar in Meteorology and Hydrology %C Toulouse, France %V 35 %P 178 - 189 %8 2012-06-24 %D 2012 %Z Engineering Sciences [physics]Conference poster %X ANR FLASH project (2009-2013) intends to capitalize on the advantages of machine learning methods in order to provide tools for real-time flash floods forecasting. In a first step, water level forecasts were provided based on rain estimation of rainfalls, leading to the design of a demonstrating software. In a second step, weather RADAR measurements will be taken in advantage, as for rainfall estimation than for directly inputs reflectivity to the model. Comparison between the 3-type of inputs (rain gauge rainfall, RADAR rainfall, COMEPHORE reanalysis) will be assessed. %G English %2 https://imt-mines-ales.hal.science/hal-03341863/document %2 https://imt-mines-ales.hal.science/hal-03341863/file/POSTER_FLASH-ERAD_2012_15-06-2012.pdf %L hal-03341863 %U https://imt-mines-ales.hal.science/hal-03341863 %~ INSTITUT-TELECOM %~ EM-ALES %~ AGROPOLIS %~ INSTITUTS-TELECOM