Journal of Atmospheric and Environmental Optics ›› 2023, Vol. 18 ›› Issue (6): 569-584.doi: 10.3969/j.issn.1673-6141.2023.06.006

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Spatial-temporal mode analysis of cloud top pressure over East Asia during 2001―2021

SUN Le 1,2, TANG Chaoli 2*, WEI Yuanyuan 3, HUANG Yourui 2   

  1. 1 Department of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China; 2 Institute of Electrical & Information Engineering, Anhui University of Science and Technology, Huainan 232001, China; 3 School of Internet, Anhui University, Hefei 230039, China
  • Received:2022-03-22 Revised:2022-05-08 Online:2023-11-28 Published:2023-12-04
  • Contact: 超礼 唐 E-mail:chaolitang@163.com

Abstract: Based on MODIS and AIRS remote sensing data from January 2001 to December 2021, the temporal and spatial modal characteristics and variation trend of cloud top pressure (CTP) over East Asia in recent 21 years were studied using empirical orthogonal function (EOF), MK trend analysis and least square method. The results show that the CTP in east Asia shows a gradually decreasing trend from northeast to southwest, and large differences in seasonal changes with a tick font shape, manifested as the highest pressure value in winter and the lowest in summer. Affected by geographical position and latitudes, the high value areas of CTP are distributed in northeast region throughout the four seasons in one year, while the low value area is always located in the Qinghai-Tibet plateau area. Guangxi and Guangdong in China, Myanmar, India and other places belong to the tropical monsoon region, they are affected by cold and dry air in winter and easy to form CTP high value area. The East Asian region is mainly dominated by medium cloud distribution. Specifically, the low cloud areas are mainly concentrated in Northeast China, Beijing-Tianjin-Hebei, the Korean Peninsula, and mid latitude marine areas. The meduim cloud areas are mainly distributed in the Central Plains region, southern regions (Guangxi, Guangdong, and various provinces in the middle and lower reaches of the Yangtze River), as well as some regions of Xinjiang in China. And high clouds mainly appear in the Qinghai-Tibet Plateau and Taklamakan Desert of China. The trend analysis shows that CTP in Xinjiang of China, Indian Peninsula, Myanmar, Mongolia and Lake Baikal significantly increases from 2001 to 2021, while that in Qinghai-Tibet Plateau, southern coastal areas and eastern sea of China shows a significant downward trend. Generally, CTP is significantly correlated with surface temperature, humidity, water vapor and cloud cover in some regions of East Asia. Therefore, the change of CTP can reflect regional weather changes to a certain extent.

Key words: cloud top pressure, empirical orthogonal function, MK trend analysis, least square method

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