Observation of low-level wind reversals in the Gulf of Lion area and their impact on the water vapour variability

Di Girolamo, P. ; Flamant, C. ; Cacciani, M. ; Richard, E. ; Ducrocq, Véronique ; Summa, D. ; Stelitano, D. ; Fourrié, Nadia ; Saïd, F.

Année de publication
2016

<span style="color:#4b0082;">ABSTRACT</span></p><p align="justify"><span style="color:#4b0082;">Water vapour measurements from a ground-based Raman lidar and an airborne differential absorption lidar, complemented by high resolution numerical simulations from two mesoscale models (AROME-WMED and Meso-NH), are considered to investigate three transition events from Mistral/Tramontane to southerly marine flow taking place in the Montpellier region (Southern France) in the time frame September-October 2012, during the Hydrological Cycle in the Mediterranean Experiment Special Observation Period 1. Low-level wind reversals associated with these transitions are found to have a strong impact on water vapour transport, leading to a large variability of the water vapour vertical and horizontal distributions. Water vapour mixing ratio within the boundary layer is found to vary from typical values in the range 4–8 g kg<sup>−1</sup> during the northerly Mistral/Tramontane flows to values in the range 8–15 g kg<sup>−1</sup> during the southerly marine flows. The increase/decrease in water vapour mixing ratio within the boundary layer may be abrupt and marked during these transition periods, with values increasing-decreasing by a factor of 2 to 4 within 1 hour. The high spatial and temporal resolutions of the lidar data allow monitoring the time evolution of the water vapour field during these transitions from predominantly northerly Mistral/Tramontane flow to a predominantly southerly flow, permitting to identify the quite sharp separation between these flows, which is also satisfactorily well captured by the mesoscale models. Water vapour measurements from the ground-based lidar are complemented by particle backscatter measurements from the same system, which allow also revealing the significant variability in the aerosol and cloud fields associated with these transition events.</span></p>

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