本文選題：層析 + 水汽��； 參考：《中南大學(xué)》2013年碩士論文

【摘要】：準(zhǔn)確的獲取大氣中水汽的三維分布信息,能夠有效地改善氣候監(jiān)測及氣象預(yù)測的精度。此外,還能夠有效地改善數(shù)值天氣預(yù)報的初始濕度場,有效地提高數(shù)值天氣預(yù)報的精度。GPS技術(shù)為探測水汽的三維分布提供了一種新的方法,它具有全天候作業(yè)、不受天氣情況影響、探測精度高、實時連續(xù)性作業(yè)等優(yōu)點,有效地彌補了傳統(tǒng)探測方法的不足。 本論文聯(lián)合地基GPS及空基COSMIC(The Constellation Observing System for Meteorology, Ionosphere and Climate)掩星產(chǎn)品對香港地區(qū)的水汽三維分布進行了研究。針對傳統(tǒng)迭代重構(gòu)算法的局限性,提出了一種改進的水汽層析的迭代重構(gòu)算法；為了彌補單一重構(gòu)算法的缺點,又提出了一種組合重構(gòu)算法反演水汽的三維分布。通過對香港地區(qū)12個氣象監(jiān)測站提供的GPS觀測數(shù)據(jù)進行試算,驗證了新方法的可行性及其優(yōu)越性。本論文的主要研究工作和成果如下： 1)利用精密單點定位的方法算取天頂路徑延遲(ZPD),通過Saastamoinen模型(ZHD)求取天頂干延遲后求取天頂濕延遲(ZWD),并最終獲取斜路徑水汽含量(SWV)。 2)針對經(jīng)典代數(shù)重構(gòu)算法在大尺度水汽反演中迭代收斂速度慢、重構(gòu)精度較低的缺點,本文提出了一種改進的代數(shù)重構(gòu)算法。該算法能夠自動地調(diào)節(jié)算法中的松弛參數(shù)向量中的各個元素,逐步改善反演的精度,并提高反演的速度。 3)針對單個重構(gòu)算法在對流層層析水汽密度值反演中的局限性,提出了一種組合重構(gòu)水汽層析方法。在獲取水汽垂直分布的時,組合重構(gòu)方法的精度優(yōu)于單一的重構(gòu)算法的精度。此外,組合重構(gòu)算法有效地解決了初始值選取的問題。 4)通過求取2012年7月20日到8月2日水汽的三維分布,并將其轉(zhuǎn)化為水汽的柱積分水汽總量,根據(jù)該值的分布及變化研究了2012年7月22日到28日暴雨天氣的過程。圖30幅,表7個,參考文獻86個。
[Abstract]:The accurate acquisition of three-dimensional distribution information of water vapor in the atmosphere can effectively improve the accuracy of climate monitoring and meteorological prediction. In addition, it can effectively improve the initial humidity field of the numerical weather forecast, and effectively improve the precision of the numerical weather forecast.GPS technology to provide a new method for detecting the three-dimensional distribution of water vapor. All weather operations, which are not affected by weather conditions, have high detection accuracy and real-time continuous operation, have effectively compensated for the shortcomings of traditional detection methods.
This paper combines ground GPS and space-based COSMIC (The Constellation Observing System for Meteorology, Ionosphere and Climate) to study the three-dimensional distribution of water vapor in Hongkong area. In view of the limitations of the traditional iterative reconstruction algorithm, an improved iterative reconstruction algorithm for water vapor chromatography is proposed. To reconstruct the algorithm, a combination reconstruction algorithm is proposed to retrieve the three-dimensional distribution of water vapor. The feasibility and superiority of the new method are verified by a trial calculation of the GPS observation data provided by 12 meteorological monitoring stations in Hongkong area. The main research work and results of this paper are as follows:
1) the zenith path delay (ZPD) is calculated by the precise single point positioning method, and the zenith wet delay (ZWD) is obtained after the zenith dry delay (ZWD) through the ZHD (ZHD), and the water vapor content of the oblique path (SWV) is finally obtained.
2) in view of the shortcoming of slow convergence rate and low reconstruction precision of the classical algebraic reconstruction algorithm in large scale water vapor inversion, an improved algebraic reconstruction algorithm is proposed in this paper. This algorithm can automatically adjust the elements of the relaxation parameter vector in the algorithm, gradually improve the accuracy of the inversion and improve the speed of the inversion.
3) in view of the limitation of the single reconstruction algorithm in the inversion of the tropospheric chromatographic vapor density, a combined reconstruction water vapor tomography method is proposed. When obtaining the vertical distribution of the water vapor, the precision of the combined reconstruction method is better than the single reconstruction algorithm. In addition, the combined reconstruction algorithm can effectively solve the problem of the initial value selection.
4) by obtaining the three-dimensional distribution of water vapor from July 20, 2012 to August 2nd and converting it into the total amount of water vapor in the column of water vapor, the process of rainstorm from July 22, 2012 to 28 is studied according to the distribution and change of the value. 30 maps, 7 tables and 86 references are made.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P228.4;P426;P412

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本文編號：2052406