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

<p>A network of water vapor Raman lidars &#160;WaLiNeas (Lidar Network Assimilation) for improving heavy precipitation forecasting in the Mediterranean Sea has been designed among with the aim of providing water vapor measurements with high spatial-temporal resolution and accuracy, in order to be assimilated into AROME mesoscale models using a four-dimensional ensemble-variational approach with 15-min updates. The CONCERNIG Lidar from University of Basilicata and a Wind Lidar form CNR&#8211;IMAA are co-located in the University of Toulone between October 2022 and January 2023 in order to reach the campaign objective. For this scope a of vertical profiles of latent heat flux were obtained &#160;as a &#160;Covariance matrices from vertical wind component (w') and mixing ratio (q') are estimated as a retrieval of a Wind Lidar and Raman Lidar UV respectively.</p><p>In this way, a time series of vertical wind profiles from the selected case (31 Oct to 03 Nov) are computed. with temporal resolution &#916;t = 15 min and vertical resolution &#916;z = 90 m.&#160; The specific humidity flux < w&#8217; &#183; q&#8217;>&#160; [g/kg &#183; m/s] is converted into the flux of latent heat (W/m²) by multiplication with the air density &#961; obtained from the radiosonde and the latent heat of vaporization of water Lv. A flux comparison with ground-based water vapour Raman and wind lidar shows agreement within the instruments and the results will be presented during the conference</p>