Conditions for occurrence and forecasting of heavy rains and squalls in the Moscow region: Case Studies for June 2024

The paper presents a comparative analysis of synoptic conditions and the results of numerical forecasts of severe convective events in the Moscow region on June 5–6 and 20, 2024. The forecasts of weather events by the Cosmo-Ru2 mesoscale model assimilating radar data and the forecasts based on the data of the regional model of the Hydrometeorological Center of Russia are used. The DMRL-C Vnukovo weather radar data and the data obtained on the basis of the DMRL-C network in the experimental diagnostic technology complement the pattern of synoptic processes and their features. Recommendations are given on the use of synoptic information in cases of the formation of active convection with severe weather events in addition to numerical forecasts to improve the accuracy of storm warning and forecasting.

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Publication Details

Journal
Hydrometeorological research and forecasting
Published
2025-04-15
DOI
https://doi.org/10.37162/2618-9631-2025-1-95-117
Primary Topic
Marine and environmental studies
Type
article
Field-Weighted Citation Impact
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article

Conditions for occurrence and forecasting of heavy rains and squalls in the Moscow region: Case Studies for June 2024

А.А. Alekseeva, T.G. Dmitrieva
Hydrometeorological research and forecasting
Marine and environmental studies
article

Conditions for occurrence and forecasting of heavy rains and squalls in the Moscow region: Case Studies for June 2024

А.А. Alekseeva, T.G. Dmitrieva
article en

Abstract

The paper presents a comparative analysis of synoptic conditions and the results of numerical forecasts of severe convective events in the Moscow region on June 5–6 and 20, 2024. The forecasts of weather events by the Cosmo-Ru2 mesoscale model assimilating radar data and the forecasts based on the data of the regional model of the Hydrometeorological Center of Russia are used. The DMRL-C Vnukovo weather radar data and the data obtained on the basis of the DMRL-C network in the experimental diagnostic technology complement the pattern of synoptic processes and their features. Recommendations are given on the use of synoptic information in cases of the formation of active convection with severe weather events in addition to numerical forecasts to improve the accuracy of storm warning and forecasting.

Hydrometeorological research and forecastingVol. 1
Openalex Percentile: Top 90%
Marine and environmental studies
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