气象与环境学报2012，Vol.28Issue(3)：21-24,4.
利用MODIS红外资料反演大气温湿度廓线的研究
Study on the remote retrieval of atmospheric temperature and moisture profile based on MODIS infrared data
摘要
Abstract
The retrieval algorithm based on an eigenvector regression method was summarized. The vertical distri- butions of the atmospheric temperature and moisture were retrieved using EOS/MODIS infrared data and were verified along the latitude and pressure altitude with isobaric surface reanalysis field data from NCEP （ national centers for environmental prediction）. The results indicate that the atmospheric temperature and moisture parameters retrieved by MODIS data can reveal its vertical distributions. The average of root mean square （RMS） errors at each isobaric surface is 3.39 K in middle latitude region and 1.40 K in low latitude region, respectively. The errors are significant near the ground and tropopause region as well as in complicated underlying surface region. In general, temperature retrieval results are better in low latitude regions than in middle latitude regions, so are vapor retrieval results. With the increasing of the height, the error decreases gradually in middle and high latitudes regions and is close to each other.关键词
MODIS红外资料/反演/特征向量统计反演法/温湿度廓线Key words
MODIS infrared data/Retrieval/Eigenvector regression algorithm/Atmospheric temperature and mois-ture profile分类
天文与地球科学引用本文复制引用
曲思邈,李国春..利用MODIS红外资料反演大气温湿度廓线的研究[J].气象与环境学报,2012,28(3):21-24,4.基金项目
国家自然科学基金“水分利用效率耦合碳水过程的空间尺度分析及其在通量模拟中的应用”（31070429）资助. （）
