Experiments on Lightning Detection Network Data Assimilation
| Autor: | R. Yu. Ignatov, Yu. I. Yusupov, K. G. Rubinstein, N. D. Tikhonenko, I. M. Gubenko |
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| Rok vydání: | 2020 |
| Předmět: |
Lightning detection
Atmospheric Science 010504 meteorology & atmospheric sciences Meteorology Network data Assimilation (biology) Oceanography 01 natural sciences Atomic and Molecular Physics and Optics law.invention 010309 optics Numerical weather forecast Data assimilation law 0103 physical sciences Weather prediction Thunderstorm Environmental science 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Atmospheric and Oceanic Optics. 33:219-228 |
| ISSN: | 2070-0393 1024-8560 |
| Popis: | First results of the study of the effect of lightning detection network data assimilation on the numerical weather forecast are analyzed. Methods for lightning data assimilation in weather prediction models are briefly overviewed. An algorithm used is described, as well as the results of numerical experiments and their analysis for seven weather forecasts for thunderstorms observed in the Krasnodar Territory, Russia, in 2017. It is found that the average absolute errors for all quantities due to thunderstorms are reduced. The work of the algorithm is shown in the comparison of daily precipitation maps for the seven weather forecasts with and without WWLLN network data assimilation. It was shown that the configuration of forecast precipitation fields and their intensity is significantly closer to the observations, especially for light precipitation (0–7 mm). |
| Databáze: | OpenAIRE |
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