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. The article reports on the impact of the assimilation of wind verticalprofile data in a kilometre-scale NWP system on predicting heavyprecipitation events in the north-western Mediterranean area. The datacollected in diverse conditions by the airborne W-band radar RASTA (RadarAirborne System Tool for Atmosphere) during a 45-day period are assimilatedin the 3 h 3DVAR assimilation system of AROME. The impact of the length ofthe assimilation window is investigated. The data assimilation experimentsare performed for a heavy rainfall event, which occurred over south-easternFrance on 26 September 2012 (IOP7a) and over a 45-day cycled period. Resultsindicate that the quality of the rainfall accumulation forecasts increaseswith the length of the assimilation window, which recommends usingobservations with a large period centred on the assimilation time. Thepositive impact of the assimilation of RASTA wind data is particularlyevidenced for the IOP7a case since results indicate an improvement in thepredicted wind at short-term ranges (2 and 3 h) and in the 11 hprecipitation forecasts. However, in the 45-day cycled period, the comparisonagainst other assimilated observations shows an overall neutral impact.Results are still encouraging since a slight positive improvement in the 5,8 and 11 h precipitation forecasts was demonstrated.

Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system