基于不同被动传感器的中国区域冰云特性对比评估  

Comparative Evaluation of Ice Cloud Characteristics Based on Different Passive Sensors in China

作　　者：杜傢义 郑有飞 王立稳[4] 李特 郑倩 DU Jia-yi;ZHENG You-fei;WANG Li-wen;LI Te;ZHENG Qian(School of Environmental Science and Engineering,Nanjing University of Information Science & Technology;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science&Technology;Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration;School of Atmospheric Sciences,Nanjing University;School of Atmospheric Physics,Nanjing University of Information Science & Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学环境科学与工程学院 [2]江苏省大气环境监测与污染控制高技术研究重点实验室 [3]南京信息工程大学江苏省大气环境与装备技术协同创新中心 [4]中国气象局气溶胶与云降水重点开放实验室 [5]南京大学大气科学学院 [6]南京信息工程大学大气物理学院,南京210044

出　　处：《科学技术与工程》2019年第16期33-43,共11页Science Technology and Engineering

基　　金：国家科学自然基金(41590873)资助

摘　　要：为了对比中国区域不同被动传感器冰云资料差异及原因,评估并找出与冰云实际特征更加接近的被动产品,使用2013年1月~2015年12月中分辨率成像光谱仪(MODIS)、大气红外探测仪(AIRS)、大气红外/先进微波探测(AIRS/AMSU-A)被动传感器三级产品,以雷达/激光雷达探测(DARDAR)资料为参照,对比分析了冰云发生概率、光学厚度及有效粒子半径的水平分布特征、小尺度数值大小、3年年季变化情况。结果表明:中国区域冰云发生概率总体水平分布MODIS更接近于DARDAR资料,但中国南部、西南、东北、华中等不同小尺度区域的数值分析AIRS和AIRS/AMSU-A相近,效果均比MODIS更佳;冰云光学厚度AIRS/AMSU-A对数值大小的反演和全中国整体变化规律均与DARDAR资料相近;中国及周边区域冰云有效粒子半径的大范围总体水平分布AIRS被动传感器更接近DARDAR资料,对于不同尺度的数值研究,中高纬度小区域宜选择MODIS,低纬度AIRS更接近DARDAR资料;无论冰云发生概率、光学厚度还是冰粒半径,MODIS被动传感器均能更为准确地描述3年年季变化。In order to compare and evaluate the differences and causes of different passive sensor ice cloud data in China,and to find out the products that are closer to the actual characteristics of ice clouds, three sensor data include ice cloud variables:MODIS (moderate-resolution imaging spectroradiometer),AIRS (atmospheric infrared sounder),AIRS/AMSU-A (atmospheric infrared sounder/advanced microwave sounding unit-A) from JAN 2013 to DEC 2015 were used to analyze the Ice cloud occurrence probability,optical thickness and horizontal distribution of effective particle radius,small-scale numerical value,and 3-year time variation by referring DARDAR (raDAR/liDAR) active sensor data. The results show that ice clouds occurrence frequency overall horizontal distribution of MODIS in China is closer to DARDAR data,but the numerical analysis of AIRS and AIRS/AMSU-A in different small-scale areas in southern,southwest,northeast and central China is better than MODIS;The optical optical thickness AIRS/AMSU-A is similar to the DARDAR data inversion,and the overall national variation law is also the AIRS/AMSU-A data in China.The AIRS passive sensor that large-scale migration changes of ice cloud effective particle radius in China and the surrounding is similar to DARDAR data.In numerical studies,MODIS should be selected for small areas at mid-high latitudes,and AIRS data should be closer to DARDAR at lower latitudes;MODIS passive sensor can more accurately describe the three years’ seasonal changes regardless of ice cloud occurrence probability,optical thickness or ice particle radius.

关 键 词：冰云 发生概率 光学厚度 有效粒子半径 被动传感器 

分 类 号：P412.27[天文地球—大气科学及气象学]