Application of the Self-Organizing Map Method in February Temperature and Precipitation Pattern over China: Comparison between 2021 and 2022

被引:0
|
作者
Zhang, Zengping [1 ,2 ]
Gu, Yu [3 ]
Wang, Zhikuan [2 ]
Luo, Siyuan [4 ]
Sun, Siyuan [2 ]
Wang, Shuting [2 ]
Feng, Guolin [2 ,5 ]
机构
[1] Yangzhou Univ, Coll Math Sci & Technol, Yangzhou 225002, Peoples R China
[2] Yangzhou Univ, Coll Phys Sci & Technol, Yangzhou 225002, Peoples R China
[3] Jiangsu Yangzhou Meteorol Bur, Yangzhou 225009, Peoples R China
[4] Beijing Meteorol Bur, Beijing 102600, Peoples R China
[5] China Meteorol Adm, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
self-organizing map; South China Sea cyclone; subtropical western North Pacific anticyclone; Siberian High; JET WAVE-GUIDE; EL-NINO; WINTER PRECIPITATION; SOUTHERN CHINA; SEA-ICE; TELECONNECTION; OSCILLATION; CONTINUUM; ANOMALIES; IMPACT;
D O I
10.3390/atmos14071182
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 Nina 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.
引用
收藏
页数:14
相关论文
共 38 条
  • [1] Self-organizing map method based on real rough sets space and its application of pattern recognition
    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    不详
    Chin J Aeronaut, 2006, 1 (72-76):
  • [2] Projection and possible causes of summer precipitation in eastern China using self-organizing map
    Mei Li
    Zhihong Jiang
    Pu Zhou
    Hervé Le Treut
    Laurent Li
    Climate Dynamics, 2020, 54 : 2815 - 2830
  • [3] Projection and possible causes of summer precipitation in eastern China using self-organizing map
    Li, Mei
    Jiang, Zhihong
    Zhou, Pu
    Le Treut, Herve
    Li, Laurent
    CLIMATE DYNAMICS, 2020, 54 (5-6) : 2815 - 2830
  • [4] Recognition and its application of boiler operation pattern based on self-organizing characteristic map
    Chen, H
    He, ZW
    Tang, SL
    ENERGY AND ENVIRONMENT, VOLS 1 AND 2, 2003, : 546 - 550
  • [5] A star pattern recognition method based on self-organizing map network and triangle algorithm
    Liu Yan
    Xi Hongxia
    Cao Jun
    Qu Haibo
    Song Chongjin
    Chen Li
    An Junjie
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2018, 38 (04) : 1 - 10
  • [6] Flexible array self-organizing map neural network and its application in complex pattern recognition
    Song, Xiao-feng
    Wang, Pei-pei
    NEURAL COMPUTING & APPLICATIONS, 2011, 20 (01): : 9 - 16
  • [7] Flexible array self-organizing map neural network and its application in complex pattern recognition
    Xiao-feng Song
    Pei-pei Wang
    Neural Computing and Applications, 2011, 20 : 9 - 16
  • [8] Interaction between the East China Sea Kuroshio and the Ryukyu Current as revealed by the self-organizing map
    Jin, Baogang
    Wang, Guihua
    Liu, Yonggang
    Zhang, Ren
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2010, 115
  • [9] Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature
    Diego Rivera
    Mario Lillo
    Cintia B. Uvo
    Max Billib
    José Luis Arumí
    Theoretical and Applied Climatology, 2012, 107 : 1 - 13
  • [10] A fully automated pattern classification method of combining self-organizing map with generalization regression neural network
    Li, Chao-feng
    Zhang, Jun-ben
    Wang, Zheng-you
    Wang, Shi-tong
    NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2006, 4233 : 132 - 139