GPS掩星资料的一维变分同化与观测算子  

1-D Variational Assimilation Technique for GPS Occultation Data and Its Observation Operator

作　　者：洪振杰[1] 张翼鹏[1] 叶帆[2] 

机构地区：[1]温州大学数学学院 [2]温州大学城市学院,浙江325035

出　　处：《世界科技研究与发展》2007年第6期43-50,共8页World Sci-Tech R&D

基　　金：国家自然科学基金40605012;浙江省自然科学基金Y506040;浙江省温州市科技计划项目S2006025资助

摘　　要：在应用掩星观测资料反演温度和水汽的过程中,存在一个模糊度问题。合理利用背景场和观测量的误差特性,变分同化反演技术可以克服这个困难,并改进反演剖面的质量。采用一维变分同化反演技术,可以从弯曲角或折射率剖面直接反演大气层的压强、温度、和水汽的剖面,并使结果更加合理。变分同化反演是地基和天基GPS技术服务大气科学的主要途径,如何选择合适的观测算子直接进入气象预报的3-维或4-维同化模式成为GPS气象学最重要的环节之一。本文介绍一维变分同化反演技术、各类观测算子,这些基本方法也可以应用到3-维或4-维同化模式中。As temperature and water vapor are simultaneously retrieved from the occultation data, the problem of ambiguity will arise in mathematics. By effectively utilizing the error characteristics of background field and observation vector, onedimensional variational assimilation retrieval technique （1D-VAR） can overcome this difficulty, and furthermore, may improve the quality of retrieval atmosphere profile. By 1D-VAR, the pressure, temperature and water vapor may be directly retrieved from bending angle profile or refractive index profile with more reasonable results. Variational assimilation retrieval technique is also the main approach for ground-based and space-based GPS technology to devote the atmospheric science. It is one of the most important steps for GPS aerography to choose appropriate observation operator directly into 3-D or 4-D assimilation mode. This paper introduces 1-D variational assimilation retrieval technique and some kinds of observation operator, which may be essentially applied in 3-D or 4-D assimilation mode.

关 键 词：GPS掩星 变分同化 观测算子 

分 类 号：P125.4[天文地球—天体测量]