電離層斷層掃描新方法之研究; The study of CIT with a new method

NCUIR > College of Earth Sciences > Graduate Institute of Space Science > Department of Earth Sciences > Item 987654321/5164

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/5164

Title:	電離層斷層掃描新方法之研究;The study of CIT with a new method
Authors:	李謹佑;Chin-Yu Li
Contributors:	太空科學研究所
Keywords:	電離層斷層掃描;積分常數;CIT;ionosphere
Date:	2004-06-16
Issue Date:	2009-09-22 09:46:16 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	電離層斷層掃描技術已經發展許多年，早期在我們及其他學者的研究上，在求積分常數上均用兩站法，多站法或其他方法求得的，但是我們由模擬研究發現所求得的積分常數均不甚正確，因此在本篇論文為研究發展一不需求積分常數之反演電離層結構的方法，並將其應用在實際LITN（Low-latitude Ionospheric Tomography Network）資料的二維電離層結構反演上，以及IRI模型作為模擬的三維電離層結構反演上。在二維的情況之下，範圍由高度125~1000公里，每25公里為間隔，共分36格;緯度由1~44度，每0.25度為間隔，共分173格，總網格點為36×173個網格。在三維的結構反演上，假設電離層為IRI模型，範圍由高度125~1000公里，每25公里為間隔，共分36格;緯度由0~50度，每0.5度為間隔，共分101格，經度116~124度，每1度為間隔，總網格點為36×101×9個網格。結果顯示，在二維LITN資料反演的電離層結構上與舊法所得的結果大致吻合，但因使用實際LITN資料，而台灣經度上空的電離層實際結構為何未能確定，因此新舊兩法之優劣，不下結論，尚須對二維IRI電離層結構之反演，做進一步模擬研究。而在三維的電離層結構上，反演的結果，將它與IRI模型做比較，發現此方法比求積分常數之舊方法有較佳之結果，由此可以推知，新方法有其優點，且大大的簡化計算的步驟，值得推廣應用。 Many old methods of computerized ionospheric tomography (CIT) have been studied more than ten years. Our previous simulation studies of CIT show that the error of integral constant can not be neglected. The present study try to develop a new method to reconstruct ionospheric images in two-dimensional (2-D) and three-dimensional (3-D) cases without using integral constant. In 2-D case, the real data of LITN was used to obtain the 2-D structure of ionospheric electron density. The results are compared to the old ionospheric images, it is found that there are some difference between both results. However in 3-D case, the results of the new reconstruction method are better then those of the old method. Furthermore, the computational time and algorithm of the new reconstruction method is far less than those of the old method.
Appears in Collections:	[Graduate Institute of Space Science] Department of Earth Sciences

Files in This Item:

File	Size	Format

社群 sharing

Loading...