| 基于MODIS和AMSR-E反演京津冀地区大气水汽含量及比较 |
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| 引用本文： | 张东艳,王永前.基于MODIS和AMSR-E反演京津冀地区大气水汽含量及比较[J].成都信息工程学院学报,2014,29(3):308-314. |
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| 作者姓名： | 张东艳 王永前 |
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| 作者单位： | 成都信息工程学院资源环境学院,四川成都,610225 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 为了长时间、大范围获取水汽数值,利用2005~2008年光学遥感的MODIS近红外、红外水汽产品,以及微波遥感AMSR-E数据,2种方法反演水汽。微波AMSR-E亮温数据采用Merritt N.Deeter(2007)亮温极化差方法,选取18.7GHz和23.8GHz 2个波段,得到AMSR-E升轨、降轨大气水汽数值。以京津冀地区为研究区域,通过地统计相关性分析、时间序列分析、年际间变化分析,可知2种方法4种资料反演的大气水汽数值的R2都达到0.95,时间分布符合中国雨带移动规律,空间分布不均。MODIS数据反演值比AMSR-E值要低,得到2种方法反演水汽的各自优缺点。
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| 关 键 词： | 气象学 大气遥感 大气水汽总量 京津冀地区 MODIS AMSR-E |
Based on MODIS and AMSR-E Data Inversion of Beijing-Tianjin-Hebei Region of Atmospheric Water Vapor Content and Comparison |
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| ZHANG Dong-yan,WANG Yong-qian.Based on MODIS and AMSR-E Data Inversion of Beijing-Tianjin-Hebei Region of Atmospheric Water Vapor Content and Comparison[J].Journal of Chengdu University of Information Technology,2014,29(3):308-314. |
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| Authors: | ZHANG Dong-yan WANG Yong-qian |
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| Institution: | (School of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China) |
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| Abstract: | To obtain a long time,wide range of water vapor data,with MODIS near infrared,infrared water vapor products in 2005-2008 years,and the microwave remote sensing AMSR-E data,used two methods for the water va por inversion.Selected 18.7 GHz and 23.8 GHz two bands data from the Microwave remote sensing AMSR-E databy using Merritt n.Deeter（2007） method of bright temperature polarization difference,and obtained the AMSR-E ascend、descend atmospheric water vapor data.Taken Beijing-Tianjin-Hebei region as the study area,through the statistical correlation analysis,time series analysis,and the interannual variation analysis,the inversion atmospheric water vapor R2 value reached 0.95 with two known methods and four data resources.The Rains time distribution conforms to our country＇ s movement regularity,and the space distribution is uneven.MODIS data inversion value is lower than AMSR-E value; the two inversion methods have their own advantages and disadvantages respectively. |
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| Keywords: | meteorology atmospheric remote sensing atmospheric water vapor content beijing-tianjin-hebei region MODIS AMSR-E |
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