摘要
发展了微波遥感水汽反演算法,对于裸露地表,通过极化差比值形式消除地表信息对大气水汽反演的干扰;针对非裸露地表,首先反演了地表发射率并对不同波段地表发射率之间的关系进行分析,进而建立了非裸露地表上空大气水汽的反演算法。本文算法的反演结果与GPS探测结果的对比显示均方根误差为7.4mm,与MODIS大气水汽产品空间分布特征的对比也显示了两者较高的区域一致性。最后对京津冀平原地区和山地地区的水汽进行了时间序列的分析。
Compared with visible/infrared sensors,satellite data-based passive microwave radiometers could provide a more feasible method for retrieving precipitable water vapor（PWV）.This paper presents a scheme that retrieves PWV over Beijing-Tianjin-Hebei region using satellite radiometer measurements from advanced microwave scanning radiometer（AMSR-E）.For bare surfaces,the polarization difference ratio（PDR_WV）obtained from 23.8and 18.7GHz was found to be sensitive to PWV.For the surface covered by vegetation,surface emissivity was retrieved by AMSR-E with the help of the MODIS atmospheric profile product.Through analyzing the statistical relationship of emissivity polarization difference,an algorithm for retrieving PWV was built.Compared with the GPS results,the root mean square error of our algorithm is 7.4mm.Regional consistency was found between the results from MODIS and our algorithm.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2015年第4期479-486,共8页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(41471305
41301653
41405036)
重庆市气象局开放式研究基金资助项目(Kfjj-201402)
四川省杰出青年基金资助项目(2015JQ0037)~~
关键词
京津冀地区
AMSR-E
大气水汽
亮温极化差比
Beijing-Tianjin-Hebei Region
precipitable water vapor
AMSR-E
polarization difference
