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中国南海低云量季节和年际变化时空特征分析

梁颖茹 杨丽英 龙景超 黎永杰 陈彩梅

气象科技进展2025,Vol.15Issue(1):62-69,8.
气象科技进展2025,Vol.15Issue(1):62-69,8.DOI:10.3969/j.issn.2095-1973.2025.01.008

中国南海低云量季节和年际变化时空特征分析

Spatiotemporal Characteristics of Seasonal and Interannual Variations of Low Cloud Amount over the South China Sea

梁颖茹 1杨丽英 2龙景超 3黎永杰 4陈彩梅5

作者信息

  • 1. 广东省龙门县气象局,龙门 516800
  • 2. 广州市增城区气象局,广州 511300
  • 3. 广东海洋大学海洋与气象学院/南海海洋气象研究院,湛江 524088||广东省高等学校陆架及深远海气候、资源与环境重点实验室,湛江 524088||广东省近海海洋变化与灾害预警实验室,湛江 524088
  • 4. 东莞市应急局道滘分局,东莞 523000
  • 5. 台州市椒江区气象局,台州 318000
  • 折叠

摘要

Abstract

By using the D2 cloud climate datasets from the International Satellite Cloud Climatology Project(ISCCP),NCEP reanalysis data and Nino3.4 SST data,we analyzed the spatiotemporal distribution characteristics and possible reasons of the annual average of the low cloud amount over the South China Sea(SCS),its seasonal circulation as well as its interannual variation.The results show that the annual average climatological state of low cloud amount exerts a northeast to southwest belt-like distribution.In particular,the high value area is located along the coastline of the land-sea boundary.From the perspective of time series,prior to 2001,the fluctuation range of low cloud amount index over the SCS was relatively large,while it went the opposite from 2001 to 2007.The distribution of low cloud amount over the SCS has remarkable seasonal feature,which is related to the onset of summer monsoon and winter monsoon over the SCS.The interannual variation of low cloud amount over the SCS is minimal in summer(June to August)and peaks in winter(December to February).On the interannual time scale,the oscillation period of seasonal variation of low cloud amount over the SCS is 2 to 5 years,which coincides with the period of the ENSO cycle.This finding evidences the correlation between the two.In autumn,the interannual variation of low cloud amount over the SCS is closely related to the El Niño phenomenon.The occurrence of El Niño is accompanied with increased low cloud amount over the SCS.

关键词

中国南海/低云量/标准差/小波分析/气候变化

Key words

South China Sea/low cloud amount/standard deviation/wavelet analysis/climate change

分类

天文与地球科学

引用本文复制引用

梁颖茹,杨丽英,龙景超,黎永杰,陈彩梅..中国南海低云量季节和年际变化时空特征分析[J].气象科技进展,2025,15(1):62-69,8.

基金项目

国家自然科学基金项目(41905006) (41905006)

广东海洋大学大学生创新创业项目(580520154) (580520154)

广东海洋大学博士启动金(R19018) (R19018)

惠州市气象局科学技术研究项目(2023M10) (2023M10)

广东省教育厅创新团队项目(2023KCXTD015) (2023KCXTD015)

气象科技进展

2095-1973

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