Journal of Arid Meteorology

Previous Articles     Next Articles

The Cloud Variation over China in Recent 15 Years Based on CERES Satellite Data

MA Qianrong1, YOU Qinglong1,2, CAI Miao3, ZHOU Yuquan3, LIU Juju1   

  1. 1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Joint International
     Research Laboratory of Climate and Environmental Change (ILCEC)/ Collaborative Innovation
     Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/ Earth System
     Modeling Center, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China;
    2. Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences,
     Fudan University, Shanghai 200438, China; 3.Weather Modification Center (WMC),
     Chinese Academy of Meteorological Sciences (AMS), Beijing 100081, China
  • Online:2018-12-31 Published:2018-12-31

基于CERES卫星资料分析中国近15 a云量变化

马茜蓉1游庆龙12蔡淼3周毓荃3刘菊菊1   

  1. 1.南京信息工程大学气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/
    气象灾害预报预警与评估协同创新中心,江苏南京210044;
    2.复旦大学大气与海洋科学系/大气科学研究院, 上海200438;
    3.中国气象科学研究院人工影响天气中心,北京100081
  • 作者简介:马茜蓉(1994— ),女,在读博士,主要从事云与气候变化研究. E-mail:maqianron_g@163.com。

Abstract:

Based on the Aqua/CERES satellite products SYN datasets from January 2001 to December 2015, the trend analysis method and the wavelet analysis method were used to analyze the clouds change and their correlation with meteorological factors in China in recent 15 years. The results show that the total cloud cover decreased from southeast to northwest. The annual average of it over the southwest region could reach up to 80%, and the lowest value of it was in Tarim Basin and it was less than 30%. The high-value areas of the high clouds were mainly concentrated in the high-altitude areas, and the mid-high clouds were similar to the high clouds, and the mid-low clouds were similar to the total cloud distribution. In addition to mid-low clouds, the total cloud and other clouds were highest in summer. In recent 15 years, total clouds showed a downward trend and the trend coefficient was -0.15%·a-1. The decreasing was mainly dominated by lower clouds. However, the high cloud showed an increasing trend. The cloud cover over the Tibetan Plateau showed more significant decreasing trend than that in other regions. The total cloud exhibited larger changes in spring and winter. The high cloud and mid-high cloud had nonsignificant seasonal variabilities. And the mid-low cloud had larger variations in spring and summer. The results of periodic analysis showed that short oscillation period about 2-3 a exhibited for different clouds. Different clouds were obviously affected by relative humidity. Increasing high cloud and decreasing low level cloud might have related to recent warming. The correlation between high cloud and precipitation was higher.

Key words: cloud, trend, period analysis, correlation

摘要:

利用2001年1月至2015年12月Aqua/CERES卫星产品SYN云量资料,采用趋势分析法、小波分析法分析近15 a我国总云量及中低云、中高云和高云的气候场特征及其与气象要素的相关性。结果表明:总云量整体由东南向西北带状递减,最高值位于西南地区,可达80%以上,最低值位于塔里木盆地及蒙古高原西部地区,可低于30%。高云的高值区主要集中在高海拔区域,中高云分布与高云类似,中低云与总云量分布类似。除中低云外,总云量及不同高度的云量均在夏季达到最高值,且其区域特性显著。近15 a来总云量年际变化整体呈下降趋势,趋势系数为-0.15%·a-1,主要受较低层云量减少的影响,高云则呈现一定的增加趋势。青藏高原上空不同高度云量变化趋势较其他地区显著,并以减少趋势为主。不同高度的云量季节变化差异较大,总云量在春季和冬季变化较大,高云、中高云的季节变化较小,中低云在春季和夏季变化较大。不同高度的云量均存在2~3 a较短的震荡周期。不同类型云量均受到相对湿度的影响,近期地表温度的增加与高云增加、低云减少相关,高云与降水的相关性更高。

关键词: 云量, 变化趋势, 周期分析, 相关分析