Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022
In this study, we compared two anomalous wet February periods in 2021 and 2022 in China. The same anomalies appeared in the spatial distribution of precipitation, with anomalous precipitation centered over the southeast coast. However, temperature discrepancies appeared in most of China, with anomal...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/7/1182 |
| _version_ | 1797590284323782656 |
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| author | Zengping Zhang Yu Gu Zhikuan Wang Siyuan Luo Siyuan Sun Shuting Wang Guolin Feng |
| author_facet | Zengping Zhang Yu Gu Zhikuan Wang Siyuan Luo Siyuan Sun Shuting Wang Guolin Feng |
| author_sort | Zengping Zhang |
| collection | DOAJ |
| description | In this study, we compared two anomalous wet February periods in 2021 and 2022 in China. The same anomalies appeared in the spatial distribution of precipitation, with anomalous precipitation centered over the southeast coast. However, temperature discrepancies appeared in most of China, with anomalously high temperatures in 2021 and lower temperatures in 2022. Both instances of increased precipitation were attributed to warm and moist advection from the south, with transport in 2021 being partly enhanced by the South China Sea cyclone, whereas transport in 2022 was mainly due to the subtropical western North Pacific anticyclone. Therefore, in this study, we aimed to compare and analyze temperature and precipitation anomalies in February 2021 and 2022 using the self-organizing map method. Warm events in East Asia and cold events in Siberia and the Tibetan Plateau types were obtained by mode 1, which contained 2021. Mode 6 exhibited opposite warm types in Siberia and cold types in southern Asia, including February temperature and precipitation anomalies in 2022. Based on the results of this study, we can conclude that precipitation anomalies in February 2021 and 2022 occurred under different temperature and circulation anomalies, and both were influenced by La Niña events. Autumn sea ice loss in the Barents Sea contributed significantly to warm and rainy events in February 2021. However, the cold and rainy events of February 2022 were closely related to the strengthening of the Siberian High. |
| first_indexed | 2024-03-11T01:18:23Z |
| format | Article |
| id | doaj.art-316e6de5bce24aecbf8c367b1a7fc985 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T01:18:23Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-316e6de5bce24aecbf8c367b1a7fc9852023-11-18T18:16:40ZengMDPI AGAtmosphere2073-44332023-07-01147118210.3390/atmos14071182Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022Zengping Zhang0Yu Gu1Zhikuan Wang2Siyuan Luo3Siyuan Sun4Shuting Wang5Guolin Feng6College of Mathematics Science and Technology, Yangzhou University, Yangzhou 225002, ChinaJiangsu Yangzhou Meteorological Bureau, Yangzhou 225009, ChinaCollege of Physical Science and Technology, Yangzhou University, Yangzhou 225002, ChinaBeijing Meteorological Bureau, Beijing 102600, ChinaCollege of Physical Science and Technology, Yangzhou University, Yangzhou 225002, ChinaCollege of Physical Science and Technology, Yangzhou University, Yangzhou 225002, ChinaCollege of Physical Science and Technology, Yangzhou University, Yangzhou 225002, ChinaIn this study, we compared two anomalous wet February periods in 2021 and 2022 in China. The same anomalies appeared in the spatial distribution of precipitation, with anomalous precipitation centered over the southeast coast. However, temperature discrepancies appeared in most of China, with anomalously high temperatures in 2021 and lower temperatures in 2022. Both instances of increased precipitation were attributed to warm and moist advection from the south, with transport in 2021 being partly enhanced by the South China Sea cyclone, whereas transport in 2022 was mainly due to the subtropical western North Pacific anticyclone. Therefore, in this study, we aimed to compare and analyze temperature and precipitation anomalies in February 2021 and 2022 using the self-organizing map method. Warm events in East Asia and cold events in Siberia and the Tibetan Plateau types were obtained by mode 1, which contained 2021. Mode 6 exhibited opposite warm types in Siberia and cold types in southern Asia, including February temperature and precipitation anomalies in 2022. Based on the results of this study, we can conclude that precipitation anomalies in February 2021 and 2022 occurred under different temperature and circulation anomalies, and both were influenced by La Niña events. Autumn sea ice loss in the Barents Sea contributed significantly to warm and rainy events in February 2021. However, the cold and rainy events of February 2022 were closely related to the strengthening of the Siberian High.https://www.mdpi.com/2073-4433/14/7/1182self-organizing mapSouth China Sea cyclonesubtropical western North Pacific anticycloneSiberian High |
| spellingShingle | Zengping Zhang Yu Gu Zhikuan Wang Siyuan Luo Siyuan Sun Shuting Wang Guolin Feng Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 Atmosphere self-organizing map South China Sea cyclone subtropical western North Pacific anticyclone Siberian High |
| title | Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 |
| title_full | Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 |
| title_fullStr | Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 |
| title_full_unstemmed | Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 |
| title_short | Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022 |
| title_sort | application of the self organizing map method in february temperature and precipitation pattern over china comparison between 2021 and 2022 |
| topic | self-organizing map South China Sea cyclone subtropical western North Pacific anticyclone Siberian High |
| url | https://www.mdpi.com/2073-4433/14/7/1182 |
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