Yang Yue, Cai HongKe, Chen Quan-Liang
Xindu District Meteorological Bureau, Chengdu, 610500, China.
Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, Chengdu Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, Sichuan Provincial Engineering Research Center for Meteorological Disaster Prediction and Early Warning, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China.
Sci Rep. 2025 Aug 27;15(1):31569. doi: 10.1038/s41598-025-15003-x.
The meteorological elements in the cloud background field influence and change with the cloud macro and micro characteristics, so it is of great significance to study the relationship between them. Using CALIOP Level 2 VFM products and ERA5 reanalysis data, this paper studies and analyzes the relationship between the distribution characteristics of different types and phases clouds and meteorological elements over China through statistical methods. The results show that: In the two-dimensional probability density function distribution of cloud occurrence probability and relative humidity-temperature, there are two significant high value regions, which can be divided into tropical clouds and temperate clouds. Further linear fitting of cloud and relative humidity-temperature two-dimensional probability density function shows that transparent altocumulus and altostratus show a similar linear trend, which indicates that the relationship between temperature and relative humidity is consistent in the background field with high frequency of mixed-phase clouds. Tropical and temperate cirrus may correspond to in-situ origin cirrus and liquid origin cirrus, respectively. Further analysis of the relationship between specific humidity and temperature in the cloud background field shows that with a high cloud occurrence probability, water vapor content was exponentially correlated with temperature. The ratio between the actual fitted water vapor and the saturated water vapor calculated by Tetens formula is defined as the water vapor content saturability in the cloud background field. It is found that the water vapor content saturability in the cloud background field increases with the decrease of temperature, and this trend is more obvious in cirrus.
云背景场中的气象要素会随着云的宏观和微观特征而发生影响和变化,因此研究它们之间的关系具有重要意义。本文利用CALIOP二级VFM产品和ERA5再分析数据,通过统计方法研究和分析了中国不同类型和相态云的分布特征与气象要素之间的关系。结果表明:在云出现概率与相对湿度-温度的二维概率密度函数分布中,存在两个显著的高值区域,可分为热带云和平流云。对云与相对湿度-温度二维概率密度函数进行进一步线性拟合发现,透光高积云和高层云呈现出相似的线性趋势,这表明在混合相云出现频率较高的背景场中,温度与相对湿度的关系是一致的。热带卷云和温带卷云可能分别对应原地生成的卷云和液态源生成的卷云。对云背景场中比湿与温度关系的进一步分析表明,在云出现概率较高时,水汽含量与温度呈指数相关。将实际拟合水汽与用泰特恩公式计算的饱和水汽之比定义为云背景场中的水汽含量饱和度。研究发现,云背景场中的水汽含量饱和度随温度降低而增加,且这种趋势在卷云中更为明显。