AUTOMATIC IDENTIFICATION OF THE NOVAYA ZEMLYA BORA WIND

The paper examines a type of downslope windstorm – the Novaya Zemlya bora. This is a insufficiently studied mesoscale phenomenon characterized by the presence of high wind speeds on the western slope of the archipelago, threatening the safety of port buildings and maritime navigation. The paper proposes an approach for automatic identification of bora, which will allow to make a climatic picture of this phenomenon and to identify its characteristic features. The developed approach was applied to long-term (2015–2023) high-resolution numerical simulation data obtained using the WRF atmospheric model, and to lower-resolution data – atmospheric reanalysis ERA5. Over a 9-year period, about 220 bora events were analyzed, and this was done not only for the entire archipelago (which is typical for most studies), but also for individual regions of Novaya Zemlya. It was shown that the qualitative climatic characteristics of bora do not depend on spatial resolution, which potentially allows us to apply the developed method to identify the bora on longer time periods, for example, the entire period covered by the ERA5 reanalysis data. However, on a quantitative level, high resolution showed a greater intensity and duration of the phenomenon, as expected.

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Publication Details

Journal
Journal of Oceanological Research
Published
2024-12-29
DOI
https://doi.org/10.29006/1564-2291.jor-2024.52(4).5
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

AUTOMATIC IDENTIFICATION OF THE NOVAYA ZEMLYA BORA WIND

Alexander Gavrikov, Natalia Tilinina, Vira Koshkina
Journal of Oceanological Research
Climate variability and models
article

AUTOMATIC IDENTIFICATION OF THE NOVAYA ZEMLYA BORA WIND

Alexander Gavrikov, Natalia Tilinina, Vira Koshkina
article en

Abstract

The paper examines a type of downslope windstorm – the Novaya Zemlya bora. This is a insufficiently studied mesoscale phenomenon characterized by the presence of high wind speeds on the western slope of the archipelago, threatening the safety of port buildings and maritime navigation. The paper proposes an approach for automatic identification of bora, which will allow to make a climatic picture of this phenomenon and to identify its characteristic features. The developed approach was applied to long-term (2015–2023) high-resolution numerical simulation data obtained using the WRF atmospheric model, and to lower-resolution data – atmospheric reanalysis ERA5. Over a 9-year period, about 220 bora events were analyzed, and this was done not only for the entire archipelago (which is typical for most studies), but also for individual regions of Novaya Zemlya. It was shown that the qualitative climatic characteristics of bora do not depend on spatial resolution, which potentially allows us to apply the developed method to identify the bora on longer time periods, for example, the entire period covered by the ERA5 reanalysis data. However, on a quantitative level, high resolution showed a greater intensity and duration of the phenomenon, as expected.

Journal of Oceanological ResearchVol. 52(4)
Moscow Institute of Physics and Technology (RU), Institute of Oceanology. PP Shirshov Russian Academy of Sciences (RU)
Russian Science Foundation
Climate action
Openalex Percentile: Top 78%
Climate variability and models
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