Experiments on lightning data assimilation gathered from lightning detection network
K.G. Rubinstein1,2, I.M. Gubenko2, R.Yu. Ignatov2, N.D. Tikhonenko3, Yu.I. Yusupov3
1Hydrometeorological Centre of Russia, Moscow, Russia
2Nuclear Safety Institute, Russian Academy of Sciences, Moscow, Russia, Moscow, Russia
3Npts В«Map Maker», Moscow, Russia
Keywords: грозы, конвективные осадки, усвоение данных, WRF-ARW, сети грозопеленгации, thunderstorms, convective precipitation, data assimilation, WRF-ARW, lightning detection networks
Abstract
The work is devoted to the analysis of our first results about the impact of lightning data assimilation on the numerical weather forecast. We present a brief overview of the methods for lightning data assimilation in weather prediction models, a description of the algorithm used, and the results of numerical experiments on convective storms over Krasnodar region, Russia, observed in 2017. It is found that the average absolute errors are reduced. It is shown that the configuration of prognostic precipitation fields and their intensity is much closer to the observations. This is especially clearly seen for light precipitation (0-7 mm).
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