摘要
提出了用牛顿非线性迭代法同时反演大气参数和表层温度,该反演算法应用到我国渤海地区MODIS红外资料中,可反演得到中尺度范围内的大气温度、水汽廓线,其误差分别不超过1.5 K和18%。反演得到的表层温度、大气可降水量(TPW)和大气稳定度(TTI)与美国国家宇航局(NASA)MOD07产品相似。
A newtonian non-linear iterative algorithm that simultaneously retrieves atmospheric parameters and surface skin temperature is presented in this paper. The retrieval algorithm uses infrared radiances measured by Moderate Resolution Imaging Spectroradiometer (MODIS) in Bo Sea region. The algorithm was applied to real MODIS observations and shows that it is capable of retrieving medium-scale atmospheric temperature with accuracy of 1.5 K,water vapor with accuracy of 19%. Retrieving sea surface temperature, total precipitable water vapor (TPW), and total totals index (TTI) with retrieval accuracy is similar to that achieved by the American National Aeronautics and Space Administration (NASA) MOD07 products.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2009年第4期400-403,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40571106)
中国科学院知识创新工程资助项目
关键词
MODIS
大气温度廓线
水汽廓线
表层温度
大气可降水量
大气稳定度
MODIS
atmospheric temperature profile
water-vapor profile
surface skin temperature
total precipitable water vapor (TPW)
total totals index (TTI)