顾及边界入射信号的多模水汽层析方法

A multi-GNSS water vapor tomography method considering boundary incident signals

利用GNSS三维水汽层析技术全天候地获取高时空采样率的水汽垂直分布信息,已成为GNSS气象学中一大研究热点。当前,基于单一导航系统的传统层析方法存在观测数据利用率低、观测分布不均等不足。本文设计和实现了一种顾及边界入射信号的多模水汽层析方法,采用香港CORS网观测数据和无线电探空产品进行精度验证,并详细分析边界入射信号和多模层顶信号的引入对层析水汽结果的改善程度。结果表明:相较于传统GPS层析方法,本文采用的融合两类多模层顶信号和边界入射信号的新水汽层析方法,兼备边界入射信号和多模层顶信号的优点,可得到更高精度和更可靠的三维水汽信息。

Three-dimensional water vapor distribution information with high spatial and temporal sampling can be obtained all-weather by using GNSS water vapor tomography technology,which has become a major research hotspot in GNSS meteorology.At present,the traditional tomography method based on single navigation system has some shortcomings,such as low utilization rate of observation data and uneven distribution of observation.This paper designs and implements a multi-GNSS water vapor tomography method which takes into account the boundary incident signal.The accuracy of the method is verified by using the observation data of Hong Kong CORS network and radio sounding products.The improvement of the results of water vapor tomography by introducing boundary incident signal and multi-GNSS signal is analyzed in detail.The results show that compared with the traditional GPS tomography method,the proposed water vapor tomography method,which combines the advantages of boundary incident signal and multi-GNSS signal,can obtain more accurate and reliable three-dimensional water vapor information.