Accuracy of Thunderstorm Detection based on DMRL-C Weather Radar Data

N. V. Il’in and F. A. Kuterin

The comparative analysis of field data on weather radar reflectivity and lightning activity for the convective season of 2016 (May 16–September 18) is performed. The accuracy of the thunderstorm detection algorithm implemented in the DMRL-C radars is evaluated. A new algorithm based on the sum of positive values of reflectivity is proposed. In terms of accuracy and reliability, the algorithm performs better than more complex models. The algorithm can be used for thunderstorm detection from field or model data on the reflectivity of the convective system.