Latent flow measurement by Wind Lidar and Raman Lidar during WaLiNeas campaign.

The Measure Walines campaign (Lidar Network Assimilation) was born with the aim of being able to improve the prediction of heavy rainfall in the Mediterranean Sea. It was designed with the aim of providing water vapor measurements with high resolution and spatio-temporal accuracy, in order to be assimilated into the AROME mesoscale model using a four-dimensional ensemble variational approach with 15-minute updates. The instruments used in this campaign were The CONCERNING Lidar of the University of Basilicata and a Wind Lidar of the CNR-IMAA which were co-located at the University of Toulon between October 2022 and January 2023 to achieve the campaign goal. For this purpose vertical latent heat flux profiles were calculated as covariance matrices from the vertical wind component ($w$) and the mixing ratio ($q$) estimated as retrieval of Wind Lidar and Raman Lidar UV data, respectively. A time series of vertical wind profiles of the selected case (October 31 to November 3) are calculated. The pecific humidity flux $\langle w q \rangle$ [g/kg*m/s] is converted into latent heat flux (W/m${}^{2}$). The results will be presented during the Congress.