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- W4200317294 abstract "The WRF predictive model was used to recreate a variety of situations with severe weather phenomena (hurricanes, heavy rainfall, cold frost, etc.). This paper examines two cases in the region of Western Siberia with severe weather phenomena over the past two years. The first case is a situation with detection of a large temperature gradient in the lower atmosphere during the development of abnormally early thunderstorms and squalls on April 29–30, 2019. The second case is a situation with detection of a large area of anomalous cold wave in the territory of Western Siberia on December 25–26, 2020. In both cases, simulations have identified the main factors leading to the occurrence of these phenomena. Comparison of modeling results with the observed data showed good agreement for the main meteorological parameters." @default.
- W4200317294 created "2021-12-31" @default.
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- W4200317294 date "2021-12-16" @default.
- W4200317294 modified "2023-10-14" @default.
- W4200317294 title "Severe weather phenomena research with the WRF model" @default.
- W4200317294 doi "https://doi.org/10.1117/12.2603242" @default.
- W4200317294 hasPublicationYear "2021" @default.
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