Experiments on lightning data assimilation: preliminary results

Autor:	K. G. Rubinstein, N. D. Tikhonenko, Yu I. Yusupov, I. M. Gubenko
Rok vydání:	2019
Předmět:	Thesaurus (information retrieval) Data assimilation Information retrieval Environmental science Lightning
Zdroj:	IOP Conference Series: Materials Science and Engineering. 698:044038
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/698/4/044038
Popis:	This article is devoted to the analysis of the first results of the impact of lightning data assimilation on the numerical weather forecast. The article includes a description of the used algorithm and the results of the conducted numerical experiments for the convective storms over Krasnodar region of Russia observed in 2017. Numerical weather prediction model WRF-ARW (Weather Research and Forecast) and lighting data gathered from WWLLN (Worldwide Lightning Location Network) are used [1. 2]. It was found that the average absolute errors of the temperature. atmospheric pressure. humidity. precipitation and wind 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 shallow precipitation (0-7 mm).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e5dfe0eb9a259d9cfb469e7e1799f827 https://doi.org/10.1088/1757-899x/698/4/044038 Zobrazit plný text záznamu