A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative

[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Western Mediterranean Previsió del temps [SDU.STU.ME] Sciences of the Universe [physics]/Earth Sciences/Meteorology Numerical weather prediction model Teledetecció 550 AROME Remote sensing · Numerical weather prediction model · AROME · Assimilation · Western Mediterranean [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology Remote sensing, Numerical weather prediction model , AROME, Assimilation, Western, Mediterranean :Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica [Àrees temàtiques de la UPC] Remote sensing Radar òptic 01 natural sciences [PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Weather forecasting Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica 13. Climate action Assimilation 0105 earth and related environmental sciences
DOI: 10.1007/s42865-021-00037-6 Publication Date: 2021-09-24T16:53:16Z
ABSTRACT
Extreme heavy precipitation events (HPEs) pose a threat to human life but remain difficult to predict because of the lack of adequate high frequency and high-resolution water vapor (WV) observations in the low troposphere (below 3 km). To fill this observational gap, we aim at implementing an integrated prediction tool, coupling network measurements of WV profiles, and a numerical weather prediction model to precisely estimate the amount, timing, and location of rainfall associated with HPEs in southern France (struck by¿~¿7 HPEs per year on average during the fall). The Water vapor Lidar Network Assimilation (WaLiNeAs) project will deploy a network of 6 autonomous Raman WV lidars around the Western Mediterranean to provide measurements with high vertical resolution and accuracy to be assimilated in the French Application of Research to Operations at Mesoscale (AROME-France) model, using a four-dimensional ensemble-variational approach with 15-min updates. This integrated prediction tool is expected to enhance the model capability for kilometer-scale prediction of HPEs over southern France up to 48 h in advance. The field campaign is scheduled to start early September 2022, to cover the period most propitious to heavy precipitation events in southern France. The Raman WV lidar network will be operated by a consortium of French, German, Italian, and Spanish research groups. This project will lead to recommendations on the lidar data processing for future operational exploitation in numerical weather prediction (NWP) systems.<br/>Peer Reviewed<br/>The version of record is available online at: http://dx.doi.org/10.1007/s42865-021-00037-6<br/>
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