NUMERICAL PREDICTION OF PRECIPITATION IN TOMSK USING MESOSCALE MODELS

To study the predictive properties of Weather Research & Forecasting and TSUNM3 mesoscale models for predicting heavy precipitation in Tomsk, a series of calculations were performed using these models for individual dates in 2021 and 2022, when the amount of precipitation accumulated over 12 hours exceeded 5 mm.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.56820/conferencearticle_685d0a9da59b46.74569410
Primary Topic
Meteorological Phenomena and Simulations
Type
article
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article

NUMERICAL PREDICTION OF PRECIPITATION IN TOMSK USING MESOSCALE MODELS

И.В. Дель, Alexander V. Starchenko, Evgeniy A. Danilkin, D. Leschinskiy
Meteorological Phenomena and Simulations
article

NUMERICAL PREDICTION OF PRECIPITATION IN TOMSK USING MESOSCALE MODELS

И.В. Дель, Alexander V. Starchenko, Evgeniy A. Danilkin, D. Leschinskiy
article en

Abstract

To study the predictive properties of Weather Research & Forecasting and TSUNM3 mesoscale models for predicting heavy precipitation in Tomsk, a series of calculations were performed using these models for individual dates in 2021 and 2022, when the amount of precipitation accumulated over 12 hours exceeded 5 mm.

Openalex Percentile: Top 81%
Meteorological Phenomena and Simulations
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NUMERICAL PREDICTION OF PRECIPITATION IN TOMSK USING MESOSCALE MODELS — И.В. Дель, Alexander V. Starchenko, et al. · (2025) | TGRS Research Map | TGRS