基于大气数值模式和数据同化的DInSAR大气校正关键问题探讨
首发时间:2013-02-01
摘要:在合成孔径雷达差分干涉测量技术应用中,数据获取过程中的大气效应特别是大气中水汽造成的延迟是制约其测量精度的主要因素之一。利用大气数值模式可以获得与SAR数据获取时间同步、空间分辨率匹配的大气水汽场来进行大气校正,同时,采用数据同化的方法可以获得更精准的初始场和模拟结果。本文从DInSAR大气校正的需求出发,对将大气数值模式和数据同化方法应用在DInSAR大气校正中的关键问题进行了探讨,包括数据、应用、模式的尺度选择,数据同化方法,以及大气校正结果的检验等问题。
For information in English, please click here
The key issues in DInSAR atmospheric correction by numerical weather prediction model and data assimilation
Abstract:The atmospheric effect especially the phase delay due to water vapor is one of the most important limiting factors of DInSAR measuring accuracy. The numerical weather prediction model can be used to get the water vapor content with the reasonable temporal and spatial scale of the SAR data. Data assimilation can be used to get the precise initial conditions. This paper discusses key issues in the application of numerical weather prediction model and data assimilation from the demand of DInSAR atmospheric correction. These key factors include the scale, data assimilation strategy, and the verification method.
Keywords: DInSAR atmospheric correction numerical weather prediction model data assimilation
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
基于大气数值模式和数据同化的DInSAR大气校正关键问题探讨
评论
全部评论0/1000