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Home » Archive of journals » Volume 15, No. 1, 2025 » Determination of climatic season boundaries for the parameterization of the atmospheric impurity transport model in the Russian Arctic territory

DETERMINATION OF CLIMATIC SEASON BOUNDARIES FOR THE PARAMETERIZATION OF THE ATMOSPHERIC IMPURITY TRANSPORT MODEL IN THE RUSSIAN ARCTIC TERRITORY

JOURNAL: Volume 15, No. 1, 2025, p. 27-36

HEADING: Study and development of nature resources of the Arctic

AUTHORS: Lokhov, A.S., Kotova, E.I., Chibisova, V.G.

ORGANIZATIONS: P. P. Shirshov Institute of Oceanology of the Russian Academy of Sciences, North-Western branch of P. P. Shirshov Institute of Oceanology of the Russian Academy of Sciences

DOI: 10.25283/2223-4594-2025-1-27-36

UDC: 551.58+504.3.054

The article was received on: 18.12.2024

Keywords: NDVI vegetation index, climate change in the Arctic, Russian Arctic, transport of impurities in the atmosphere, climate season, stable snow cover, winter duration

Bibliographic description: Lokhov, A.S., Kotova, E.I., Chibisova, V.G. Determination of climatic season boundaries for the parameterization of the atmospheric impurity transport model in the Russian Arctic territory. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2025, vol. 15, no. 1, pp. 27-36. DOI: 10.25283/2223-4594-2025-1-27-36. (In Russian).

Abstract:

The paper identifies the boundaries of climate seasons for the Russian Arctic. The winter season is defined as a period with stable snow cover, and the summer season is an active vegetation period. Snow cover data are provided by meteorological stations, the vegetation period is determined by the NDVI index based on satellite images. The study purpose is to determine the season boundaries at the selected reference points for parameterization of the impurity transport model using the trajectory analysis method. For comparison, the climate season boundaries have been calculated at the considered reference points based on the average daily temperature using a simplified methodology without trend analysis. Another part of the study is devoted to a related problem — comparing the temporal boundaries of the winter season for 1991—2020 and 1961—1990. Based on these indicators, maps with interpolated surfaces have been built, and conclusions drawn about the unevenness of their changes in the considered territory.

Finance info: The research was funded by the Russian Science Foundation, grant no. 23-27-00225 “Atmospheric transport as a source of pollution of ecosystems in the western sector of the Russian Arctic”.

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DOI 10.25283/2223-4594