IODA-MED : Innovative Observing and Data Assimilation Systems for severe weather events in the Mediterranean

During the autumn, western Mediterranean regions are prone to heavy precipitation and flash floods. Considerable efforts to improve the skill of the forecasts for such severe events have been made in recent years and significant progress has been obtained through the development of models permitting high-resolution convection. However, the accuracy of the forecasts is still insufficient to satisfy the demands of society in terms of amount, timing, and location of rainfall. Among the various factors limiting the predictability of heavy precipitation events (HPE), uncertainties in the model initial states play a major role. The central objective of IODA-MED is to improve HPE predictability by reducing the uncertainties on the initial state of the model. This will achieved by i) collecting additional and non-conventional observations in the marine upwind environment of the HPEs, ii) making better use of routinely available observations in the mesoscale data assimilation systems, iii) exploring the potential of assimilating new observation types, especially observations related to the water cycle iv) advancing the quality of the mesoscale data assimilation systems.

IODA-MED is funded by the ANR-11-BS56-0005 project. IODA-MED is part of the HyMeX research initiative.


IODA-MED Proposal First ANR Report (6 months) Data Base Status (January 2013) Second ANR Report (18 months) Data Base Status (July 2014) Third ANR Report (30 months) Final ANR Report (48 months)


Selected Publications

Last updated 23-07-2016. Page maintained by Evelyne Richard & Felix Pinty, Lab. d'Aerologie