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MODIS data-based cloud properties in Huaibei Region

  • role： First author第一作者
  • Affiliation：

    Anhui Weather Modification Office, Hefei 230031, China

    Key Laboratory for Cloud Physics of China Meteorological Administration, Beijing 100081, China

  • Email：cyn@mail.ustc.edu.cn
  • Introduction：曹亚楠，1986年生，女，工程师，研究方向为卫星遥感云特性和云辐射特性等。Email：cyn@mail.ustc.edu.cn
Ya’nan CAO12,  
  • Affiliation：

    Anhui Weather Modification Office, Hefei 230031, China

Ye YUAN1,  
  • Affiliation：

    Anhui Weather Modification Office, Hefei 230031, China

Xiaoyi ZHENG1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Anhui Weather Modification Office, Hefei 230031, China

  • Email：25x@163.com
  • Introduction：周述学，1968年生，男，高级工程师，研究方向为大气物理与大气环境等。E-mail：25x@163.com
Shuxue ZHOU1*

реферат

In this study, a monthly probability distribution of different cloud phases, effective radii, and top temperatures in Huaibei region based on MODIS cloud product data (MYD06) from 2006 to 2015 were analyzed contrastively. Moreover, annual variations of cloud water path were discussed. Results showed that a water cloud probability of occurrence during summer, autumn, and winter in Huaibei region is high, whereas an ice cloud probability of occurrence during spring and summer is high. The annual average of water cloud probability is nearly 2 times that of ice cloud, that of clear sky is the same as ice cloud, and that of the mixed cloud is relatively minimal. The monthly probability distribution of water cloud effective radius has varied annually, except in July. Water cloud is mainly distributed between 5 and 30 μm. Ice cloud effective radius is mainly distributed between 15 and 35 μm. The monthly probability distribution of ice cloud particle effective radius has changed monthly in ten years, except in August and May. A mixed cloud effective radius is mainly distributed between 10 and 40 μm, and the monthly probability appears two peaks between 10 and 20 μm and between 25 and 35 μm. It is different from water and ice clouds, and it is obvious during spring, autumn, and winter. During the studied decade, the annual average of cloud water path in Huaibei region is below 300 g/m2. During winter, the annual average of cloud water path is relatively decreasing annually. The monthly probability distribution change of the cloud top temperature in summer has been smaller than the other seasons in ten years. The cold cloud occurrence probability during spring and winter is significantly high, and the warm cloud probability of occurrence during summer and autumn is higher than that of the cold cloud.

ключеви́че слова́

cloud properties;cloud phase;cloud effective radius;cloud top temperature;cloud water path;Huaibei region;weather modification

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