摘要
大雾作为在稳定天气条件下形成的一种天气现象,相关研究较少。大雾生消的预报准确率一直有待提高。尤其是近年来,随着交通运输、航运的发展,大雾造成严重影响的事件日益增多,引起了交通运输、环保、卫生等各行业的重视。在积累的大量卫星探测数据基础上,分析研究了我国中东部地区不同季节、下垫面、地理位置的大雾消散遥感特征。通过加入太阳影响项等,改进了由Gurka等人提出的遥感大雾临近预报方法,提出了使用风云二号等覆盖东亚地区的气象卫星数据来预测中国中东部大雾消散时间的算法和流程,其结果与常规观测、卫星监测进行了比对。就地形、地表状况、季节等影响大雾消散的因素差异进行分析,并作了分类。
Fog is a weather phenomenon that is formed commonly in stabal synoptic situation. Following traffic development, how to accurately forecast its formation and dissipation is more and more significant for China. Through adding influencing factors of the sun, a fog dissipation forecasting method which is based on the Gurka＇ s algorithm was presented using FY serial and other geostationary satellite date. The results show that the method can be satisfactorily used for forecasting fog dissipation in plain region of the middle and east of China. Through processing a large amount of data with consideration of the factors, such as topography, land cover, season etc, classification of fog dissipation is conducted.
出处
《自然灾害学报》
CSCD
北大核心
2008年第6期134-138,共5页
Journal of Natural Disasters
基金
国家高技术研究发展计划项目(2006AA09Z149)
FY2C气象卫星工程预研项目
国际科技合作项目(2007DFA20640)
关键词
大雾消散
临近预报
气象卫星
消散类型
dense fog dissipation
imminent forecast
meteorological satellite
dissipation pattern
