Comparison of real-time refractivity measurement by radar with automatic weather stations, AROME-WMED and WRF forecasts simulations during the SOP1 of HyMeX campaign
Besson, Lucas ; Caumont, Olivier ; Goulet, Laurent ; Bastin, Sophie ; Menut, Laurent ; Bresson, Emilie ; Fourrié, Nadia ; Fabry, Frédéric ; Parent du Châtelet, Jacques
Weather radars, originally designed to detect and quantify precipitation, can be used to estimate and map the refractivity at low level, a proxy for humidity. As highlighted by previous studies, this presents a definite meteorological interest, both for numerical weather prediction and for atmospheric process studies. Recent works have given keys to perform high-accuracy measurements over operational radar without decreasing the quality of reflectivity and Doppler wind classical measurements, and the retrieval of radar refractivity is now performed in real time with the Météo-France ARAMIS (Application Radar à la Météorologie Infra-Synoptique) operational network. Taking advantage of the Hydrological cycle in Mediterranean eXperiment (HyMeX) field campaign (September-November 2012), refractivity measured by a few radars located in South-East France has been compared with in-situ measurement by Automatic Weather Stations (AWSs), and correlation between these two independent observations is quite good, in particular with a high quality of the diurnal cycle and during the pre-convection period measurement by the radar. To go further in the evaluation of the usefulness of such product, we compared refractivity derived from radar measurements and from two different kinds of models: the numerical prediction model Applications de la Recherche à l'Opérationnel à Méso-Echelle - Western MEDiterranean (AROME-WMED) using a 2.5 km resolution grid mesh over southern France and a coarser resolution simulation (54x54 km) performed with the Weather Research and Forecasting (WRF) model which both ran in a forecasting mode during the HYMEX Special Observing Period 1. These two models give access to the variability of the modeling and thus enable to quantify the uncertainty of the refractivity modeling. The result of this comparison is generally fairly good, with a pattern of refractivity field similar to observations (AWS and radar), although obviously with locally strong differences. We finally illustrate the usefulness of refractivity mapping by radar by investigating a typical meteorological situation of a convective system observed during the HyMeX campaign.
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