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中国区域云特性分析及在FY-2云检测中的应用
引用本文:刘健.中国区域云特性分析及在FY-2云检测中的应用[J].应用气象学报,2009,20(6):673-681.
作者姓名:刘健
作者单位:国家卫星气象中心, 北京 100081
基金项目:国家重点基础研究发展计划"我国南方致洪暴雨监测与预测的理论和方法研究(2004CB418305)"和公益性行业(气象)专项"多源卫星遥感前沿技术及其应用气象卫星及其对地观测数据产品和应用研究"共同资助 
摘    要:云检测中所使用的云检测阈值正确与否是关系到云检测精度的重要因素。该文利用1983年7月-2007年6月ISCCP数据对覆盖我国及周边区域不同云类云顶温度的年、日变化特征进行分析, 得到云顶温度的分布特征; 对晴空下垫面与最暖云云顶温度差随纬度分布特征、不同区域晴空下垫面及云顶温度与晴空地表温度差日变化特征进行分析, 这些特征及每3 h的晴空下垫面24年平均亮温作为云检测算法的背景场, 用以判识实时动态提取云检测阈值的合理性。个例分析表明:利用多年平均晴空下垫面温度及最暖云云顶温度与晴空下垫面温度之差, 可有效识别云检测阈值的合理性, 合理的阈值有助于提高连续多日被云覆盖及冰雪下垫面条件下的云检测精度。

关 键 词:ISCCP    晴空下垫面温度    云顶温度    云检测
收稿时间:2008-09-23

Cloud Properties Analysis and Its Application in FY-2 Cloud Detection
Liu Jian.Cloud Properties Analysis and Its Application in FY-2 Cloud Detection[J].Quarterly Journal of Applied Meteorology,2009,20(6):673-681.
Authors:Liu Jian
Institution:National Satellite Meteorological Center, Beijing 100081
Abstract:One pixel is cloud or not dependent on cloud detection scheme.Cloud detection approach includes histogram analysis,threshold detection,deviation analysis and so on.Cloud threshold is an important factor for cloud detection scheme.Now,cloud threshold usually can be gotten by one time and multi channel data in operational cloud detection method.But if surface is covered by snow or ice,or cloud covers one area for a long time,dynamic cloud threshold method always fails.So it should depend on clear temperature background.On the other hand,climate mean surface temperature can help to distinguish the dynamic cloud threshold's validity.ISCCP data are proved by many researches that it is one of the best satellite cloud climate data in the world now.ISCCP data are used to analyze properties of cloud and clear temperature over China and neighboured areas.Cloud can be divided into three kinds,such as low,middle and high cloud.Different kind of cloud has different distribution property of cloud top temperature on a seasonly or daily basis along the latitude.Different kinds of cloud top temperature basically show strip distribution along longitude.The lower latitude,the higher cloud top temperature is.Along the same latitude,different area has different cloud properties during one day or one year.The analysis shows that the low cloud top temperature increases progressively in the fall and winter seasons from north to south,and has obvious linear increase tendency with reduced latitude.The middle level cloud top temperature distribution has distinct properties.Except July,August and September,the distribution of middle level cloud top temperature presents the meridional strip basically.The middle level cloud top temperature gradient is large in fall and winter,which is small in spring.The high cloud top temperature presents the meridional strip distribution in fall,winter and spring.The high cloud top temperature is lower than 240 K and it's latitudinal gradient is small to the north of 35°N.The high cloud top temperature meridional gradient increases and it's diurnal variation is small to the south of 35°N.The temperature difference between clear surface and the warmest cloud top has stabile daily and seasonly change in the southeast part of China.At the same time,in the north part of China,the temperature difference between clear surface and the warmest cloud top has distinct daily and seasonly change.Above analyzed properties and mean clear temperature can be used as background information to distinguish the dynamic cloud detection threshold value's validation and offer cloud threshold for areas that are covered by low cloud for a long time.An example is showed to testify mean clear temperature and temperature difference between clear and the warmest cloud can offer great information for cloud detection scheme.
Keywords:ISCCP  clear temperature  cloud top temperature  cloud detection
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