摘要
鉴于常规地面气象站雾预测预报主要依靠点状的地面观测数据,而基于遥感影像反演可获得面状的雾参数,其可为进一步详细探究不同地区雾发展过程中参数的变化规律提供一定的数据基础,以发生于2006年12月豫皖苏地区和2013年1月发生于中国京津冀地区的雾为研究对象,选取TERRA/MODIS数据和FY-3A/VIRR数据进行时序遥感影像的雾参数反演并对2个地区的雾参数动态变化及地区差异性进行分析。得到以下结论:2次雾具有一个相同特征,即夜晚雾能见度值高于白天雾能见度值;雾发展过程中,2次雾物理参数差异明显,与雾区所处的地理位置、自然环境及区域发展水平等有关。该次实验表明,遥感影像可宏观地描述雾的动态变化发展,可作为研究雾属性时区变化差异的数据源之一。
Ground observation stations only receive ground visibility data.Fog physics parameters inversed from remote sensing images can better explain and analyze the development process of fog,and can be used to further explore parameter changes in the process of fog to boost the foundation theory of fog.In this paper,fog occurred on December 2006 in Yu-SuWan,China and fog occurred on January 2013 in Jing-Jin-Ji,China were regarded as research objects,sequence data of remote sensing images were selected to inverse fog physics parameters based on TERRA/MODIS data and FY-3A/VIRR data to analyze the dynamic changes of the physics parameters in the process of fog and the differences between two regions.The following conclusions are obtained:two fog regions have the same characteristics,that is,the visibility of the nighttime fog is higher than that of the daytime fog;during the development of fog,the physics parameter differences of two fog regions are obvious,which are related to the geographical position,natural environment and economical development level of the region.This experiment proves that remote sensing image can describe the dynamic changes of fog and provide a good data source for the future fog research.
出处
《遥感信息》
CSCD
北大核心
2017年第3期10-16,共7页
Remote Sensing Information
基金
国家自然科学基金面上项目(41675110)
湖南省教育厅科学研究开放平台项目(14K103)
中南大学教师研究基金项目(2014JSJJ002)
关键词
雾
反演
参数
变化差异分析
时序
fog
inversion
parameter
change difference analysis
time sequence