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利用EP/TOMS遥感资料分析我国上空沙尘天气过程
引用本文:高庆先,任阵海,李占青,普布次仁.利用EP/TOMS遥感资料分析我国上空沙尘天气过程[J].环境科学研究,2005,18(4):96-101.
作者姓名:高庆先  任阵海  李占青  普布次仁
作者单位:1. 中国环境科学研究院,北京,100012
2. 马里兰大学气象系,美国 Greenbelt,MD 20742
3. 国家海洋和大气局(NOAA),美国 Washington D.C. 20230
基金项目:国家重点基础研究计划项目(G1999043505);国家自然基金委海外青年学者合作基金资助项目(40028503)
摘    要:利用EP/TOMS卫星遥感资料,并结合地面气象观测记录,分析了影响我国典型沙尘暴天气的发生、发展和传输过程。定义了,使用EP/TOMS气溶胶指数定量描述沙尘天气强度的指标体系,并对1998年3—4月间发生的沙尘天气的强度及其演变进行了详细的分析。结果表明:利用EP/TOMS气溶胶指数并结合气象观测资料,可以对大规模的沙尘天气进行及时判别、监视,并预报影响范围及传输路径;同时,利用TOMS气溶胶指数建立起来的指标体系可以半定量化地描述沙尘暴天气的强度和影响范围。

关 键 词:EP/TOMS  卫星遥感  气溶胶指数  沙尘暴
文章编号:1001-6929(2005)04-096-06
收稿时间:2004-06-07
修稿时间:2004-06-07

Analysis of Dust Storms over China Using EP/TOMS Remote Sensing Data
GAO Qing-xian,REN Zhen-hai,LI Zhan-qing and PUBU Ci-ren.Analysis of Dust Storms over China Using EP/TOMS Remote Sensing Data[J].Research of Environmental Sciences,2005,18(4):96-101.
Authors:GAO Qing-xian  REN Zhen-hai  LI Zhan-qing and PUBU Ci-ren
Institution:Chinese Research Academy of Environmental Sciences, Beijing 100012, China;Chinese Research Academy of Environmental Sciences, Beijing 100012, China;Maryland University, Greenbelt, MD 20742, USA;National Oceanic and Atmospheric Administration (NOAA) of United States,Washington D.C. 20230,USA
Abstract:The formation, development and transportation features of typical dust storms influencing China were analyzed using EP/TOMS remote sensing data and meteorological observational data of the dust storms. The indicator system applying EP/TOMS aerosol index to quantitatively describe the intensity of dust storm was put forward. The intensity and evolution of dust storms that happened during March to April, 1998, were analyzed in detail. The results show that the EP/TOMS aerosol index data in combination with the meteorological observational data can be used to timely recognize and monitor large dust storms, and to forecast their influencing scopes and transportation paths. Also the intensity and influencing scale of dust storms can be semi-quantified utilizing the indicator system based on EP/TOMS aerosol index, which provides a new approach to study the sand storms.
Keywords:EP/TOMS  satellite remote sensing  aerosol index  dust storm
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