Numerical simulation of severe weather phenomena on the territory of Western Siberia
Recently, researchers are increasingly using physical and mathematical numerical models to solve problems in meteorology and climatology. The special value of using these models is given by the ability to recreate a variety of situations with severe weather phenomena (hurricanes, heavy showers, seve...
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ftzenodo:oai:zenodo.org:7142195 2023-06-06T11:51:40+02:00 Numerical simulation of severe weather phenomena on the territory of Western Siberia Zolotov Sergey Loginov Andrey 2022-10-04 https://zenodo.org/record/7142195 https://doi.org/10.5281/zenodo.7142195 unknown doi:10.5281/zenodo.7142194 https://zenodo.org/record/7142195 https://doi.org/10.5281/zenodo.7142195 oai:zenodo.org:7142195 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Severe weather phenomena WRF-ARW model Cold wave info:eu-repo/semantics/conferencePaper publication-conferencepaper 2022 ftzenodo https://doi.org/10.5281/zenodo.714219510.5281/zenodo.7142194 2023-04-13T23:41:18Z Recently, researchers are increasingly using physical and mathematical numerical models to solve problems in meteorology and climatology. The special value of using these models is given by the ability to recreate a variety of situations with severe weather phenomena (hurricanes, heavy showers, severe frost, etc.). The Weather Research and Forecasting (WRF) predictive model is used in this research. The WRF model is a mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. This model is also suitable for calculating the likelihood of occurrence of extreme events in the study area. The region of Western Siberia was chosen as the study area with coordinates 47°–63°N and 65°–105°E. A rare meteostation network on such a vast territory does not make it possible to study and predict factors leading to severe weather phenomena. Modeling is used to eliminate this problem. This paper examines two cases in this region with severe weather events over 2019-2020. The first case is a situation with the occurrence of a large temperature gradient in the lower atmosphere on April 30, 2019, during the development of abnormally early thunderstorms and squalls. Since April 28, 2019, significant spatio-temporal changes in many meteorological and geophysical parameters have taken place on the territory of Western Siberia, due to the displacement of the polar main front far to the north and the short-term invasion of the tropical air mass, as well as the subsequent passage of the cold front and the onset of the Arctic air mass. The second case is a situation with the emergence of a large area of anomalous cold wave on the territory of Western Siberia on December 25–27, 2020. Since December 22, the formation of an anticyclone with a value of 1035 hPa with a center near the Severnaya Zemlya archipelago has been recorded. By December 24, its ... Conference Object Arctic Severnaya Zemlya Siberia Zenodo Arctic Severnaya Zemlya ENVELOPE(98.000,98.000,79.500,79.500) PLOS Neglected Tropical Diseases 16 12 e0010974 |
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Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
Severe weather phenomena WRF-ARW model Cold wave |
spellingShingle |
Severe weather phenomena WRF-ARW model Cold wave Zolotov Sergey Loginov Andrey Numerical simulation of severe weather phenomena on the territory of Western Siberia |
topic_facet |
Severe weather phenomena WRF-ARW model Cold wave |
description |
Recently, researchers are increasingly using physical and mathematical numerical models to solve problems in meteorology and climatology. The special value of using these models is given by the ability to recreate a variety of situations with severe weather phenomena (hurricanes, heavy showers, severe frost, etc.). The Weather Research and Forecasting (WRF) predictive model is used in this research. The WRF model is a mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. This model is also suitable for calculating the likelihood of occurrence of extreme events in the study area. The region of Western Siberia was chosen as the study area with coordinates 47°–63°N and 65°–105°E. A rare meteostation network on such a vast territory does not make it possible to study and predict factors leading to severe weather phenomena. Modeling is used to eliminate this problem. This paper examines two cases in this region with severe weather events over 2019-2020. The first case is a situation with the occurrence of a large temperature gradient in the lower atmosphere on April 30, 2019, during the development of abnormally early thunderstorms and squalls. Since April 28, 2019, significant spatio-temporal changes in many meteorological and geophysical parameters have taken place on the territory of Western Siberia, due to the displacement of the polar main front far to the north and the short-term invasion of the tropical air mass, as well as the subsequent passage of the cold front and the onset of the Arctic air mass. The second case is a situation with the emergence of a large area of anomalous cold wave on the territory of Western Siberia on December 25–27, 2020. Since December 22, the formation of an anticyclone with a value of 1035 hPa with a center near the Severnaya Zemlya archipelago has been recorded. By December 24, its ... |
format |
Conference Object |
author |
Zolotov Sergey Loginov Andrey |
author_facet |
Zolotov Sergey Loginov Andrey |
author_sort |
Zolotov Sergey |
title |
Numerical simulation of severe weather phenomena on the territory of Western Siberia |
title_short |
Numerical simulation of severe weather phenomena on the territory of Western Siberia |
title_full |
Numerical simulation of severe weather phenomena on the territory of Western Siberia |
title_fullStr |
Numerical simulation of severe weather phenomena on the territory of Western Siberia |
title_full_unstemmed |
Numerical simulation of severe weather phenomena on the territory of Western Siberia |
title_sort |
numerical simulation of severe weather phenomena on the territory of western siberia |
publishDate |
2022 |
url |
https://zenodo.org/record/7142195 https://doi.org/10.5281/zenodo.7142195 |
long_lat |
ENVELOPE(98.000,98.000,79.500,79.500) |
geographic |
Arctic Severnaya Zemlya |
geographic_facet |
Arctic Severnaya Zemlya |
genre |
Arctic Severnaya Zemlya Siberia |
genre_facet |
Arctic Severnaya Zemlya Siberia |
op_relation |
doi:10.5281/zenodo.7142194 https://zenodo.org/record/7142195 https://doi.org/10.5281/zenodo.7142195 oai:zenodo.org:7142195 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.714219510.5281/zenodo.7142194 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
16 |
container_issue |
12 |
container_start_page |
e0010974 |
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1767957344081149952 |