节点文献

利用MODIS云产品对安徽不同地区云特性的研究

Cloud Properties in Different Regions of Anhui Province Based on MODIS Cloud Product

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 曹亚楠周述学袁野吴林林

【Author】 CAO Yanan;ZHOU Shuxue;YUAN Ye;WU Linlin;Anhui Weather Modification Office;Key Laboratory for Cloud Physics of China Meteorological Administration;

【通讯作者】 周述学;

【机构】 安徽省人工影响天气办公室中国气象局云雾物理环境重点实验室

【摘要】 针对不同区域云特性的差异,利用2006—2015年MODIS云产品MYD06_L2,对安徽淮北和江淮地区云相态、云粒子有效半径、云光学厚度和云顶高度发生概率进行统计分析,并对两地区云特性进行对比研究。研究表明,两地区夏季水云发生概率>冰云>晴空>混合相云,秋冬季则水云>晴空>冰云>混合相云。夏季两地区水云粒子有效半径相当,在14μm左右。淮北地区四季冰云粒子有效半径略高,夏季年际变化小,两地区逐年在24μm左右。春冬季江淮地区云光学厚度相对淮北地区较高。夏季冰云和混合相云云顶高度相对较高。研究结果为安徽省不同地区合理科学的规划和开展人工增雨作业提供了一定的理论依据。

【Abstract】 Based on MODIS cloud product(MYD06_L2)from 2006 to 2015,probability distribution of different cloud phases,cloud effective radius,cloud optical thickness and cloud top height in Huaibei region and Jianghuai region of Anhui province were statistically analyzed to study the difference of cloud properties between regions.Meanwhile,cloud properties in two regions were compared.The results show that the water cloud occurrence probability is greater than that of ice cloud,than that of clear sky,and than that of mixed phase cloud in summer.The water cloud occurrence probability is greater than that of clear sky,than that of ice cloud,and than that of mixed phase cloud in autumn and winter.Water cloud effective radius in two regions are quite constant at about 14μm in summer.Seasonal averages of ice cloud effective radius in Huaibei region are slightly higher than that of Jianghuai region,and interannual variabilities between two regions in summer is small at about 24μm.The seasonal averages of cloud optical thickness in Jianghuai region in spring and winter are higher than that in Huaibei region.Cloud top heights of ice cloud and mixed phase cloud are relatively high in summer.The results are helpful to propose the rational science in different regions of Anhui province and to provide some theoretical basis for the operation of artificial precipitation.

【基金】 中国气象局云雾物理环境重点实验室开放课题(2017Z016);安徽省气象局科技发展基金(RC201610)
  • 【文献出处】 遥感信息 ,Remote Sensing Information , 编辑部邮箱 ,2020年01期
  • 【分类号】P407;P426.5
  • 【被引频次】1
  • 【下载频次】247
节点文献中: 

本文链接的文献网络图示:

本文的引文网络