獲取GPS斜路徑方向水汽含量算法
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公益性行業(氣象)科研專項經費項目(GYHY201406012),“面向數值預報的地基GPSPW和飛機報觀測資料質量控制和預處理系統”資助


Operational Retrieval Method of Water Vapor along GPS Slant Path
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    摘要:

    獲取高精度的GPS信號斜路徑方向的水汽含量(SWV)數據,是獲得測站周圍水汽三維空間分布信息(水汽層析)的基礎。目前計算SWV的方法有多種,但都不同程度地存在解算實時性差、解算精度不高、轉換方程復雜不利于系統維護等缺點。本文計算SWV方法綜合Bernese 5.0軟件的雙差處理流程和非差處理流程,分別獲得相關站點的濕延遲梯度值和非差殘差值,能近實時、高精度地反演SWV。使用該方法重新處理2007年微波輻射計和GPS對比觀測試驗數據,均方根誤差小于4 mm。證明應用該方法,地基GPS可較精確地反演三維水汽信息。

    Abstract:

    Remote sensing of water vapor amount along the slant path (SWV: Slantpath Water Vapor) using the groundbased GPS is the basis of getting the threedimensional distribution (water vapor tomography) of water vapor on the immediate vicinity of the site. Many estimation methods have been developed in recent year, but more or less there are problems that hindered these method from putting into operational use, such as nonrealtime resolving, low accuracy resolving result, or complex convert formula. By running the Bernese (version 5.0) doubledifference processing script and the zerodifference processing script respectively, the key elements of noisotropic component of water vapor in different azimuths above the GPS receiver, the wet gradient, and zerodifferenced residuals are calculated. Then slant path water vapor amount can be accurately retrieved. In order to prove the accuracy of this new method, the observation data of a comparative observation experiment of slantpath water vapor between groundbased GPS and microwave radiometer conducted in summer 2007 are recalculated. Comparison between GPS and MR shows that RMS is less than 4 mm, which means that the estimates of SWV can be used to retrieve the three dimensional information of water vapor.

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張京江,仲躋芹,楚艷麗.獲取GPS斜路徑方向水汽含量算法[J].氣象科技,2015,43(5):799~804

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  • 收稿日期:2014-09-18
  • 定稿日期:2015-03-31
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  • 在線發布日期: 2015-11-02
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