Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field

In order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of e...

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Main Authors: Motao Huang, Guojun Zhai, Yongzhong Ouyang, Xiuping Lu, Chuanyong Liu, Rui Wang
Format: Article
Language:English
Published: Chinese Geoscience Union 2008-01-01
Series:Terrestrial, Atmospheric and Oceanic Sciences
Subjects:
Online Access: http://tao.cgu.org.tw/images/attachments/v191-2p093.pdf
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spelling doaj-e762d9fee19749cc8f1331689b429c6e2020-11-25T00:20:30ZengChinese Geoscience UnionTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802008-01-0119109310.3319/TAO.2008.19.1-2.103(SA)Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity FieldMotao HuangGuojun ZhaiYongzhong OuyangXiuping LuChuanyong LiuRui WangIn order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of error; i.e., the crossover adjustment of condition equations is made in the first step, and the filtering and prediction of adjustment corrections done along each single pass in the second step. Using the new approach can simplify greatly the computational procedure of crossover adjustment, and the stability and reliability of its solution can be expected. The new method can be used for both local and global crossover adjustment problems. Finally, a practical altimeter dataset from Geosat, ERS-1, ERS-2, and TOPEX/POSEIDON (T/P) is used as a case study to prove the efficiency of the integrated data processing method. http://tao.cgu.org.tw/images/attachments/v191-2p093.pdf Satellite altimetryData processingCrossover adjustmentGravity anomalies
collection DOAJ
language English
format Article
sources DOAJ
author Motao Huang
Guojun Zhai
Yongzhong Ouyang
Xiuping Lu
Chuanyong Liu
Rui Wang
spellingShingle Motao Huang
Guojun Zhai
Yongzhong Ouyang
Xiuping Lu
Chuanyong Liu
Rui Wang
Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
Terrestrial, Atmospheric and Oceanic Sciences
Satellite altimetry
Data processing
Crossover adjustment
Gravity anomalies
author_facet Motao Huang
Guojun Zhai
Yongzhong Ouyang
Xiuping Lu
Chuanyong Liu
Rui Wang
author_sort Motao Huang
title Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
title_short Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
title_full Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
title_fullStr Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
title_full_unstemmed Integrated Data Processing for Multi-Satellite Missions and Recovery of Marine Gravity Field
title_sort integrated data processing for multi-satellite missions and recovery of marine gravity field
publisher Chinese Geoscience Union
series Terrestrial, Atmospheric and Oceanic Sciences
issn 1017-0839
2311-7680
publishDate 2008-01-01
description In order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of error; i.e., the crossover adjustment of condition equations is made in the first step, and the filtering and prediction of adjustment corrections done along each single pass in the second step. Using the new approach can simplify greatly the computational procedure of crossover adjustment, and the stability and reliability of its solution can be expected. The new method can be used for both local and global crossover adjustment problems. Finally, a practical altimeter dataset from Geosat, ERS-1, ERS-2, and TOPEX/POSEIDON (T/P) is used as a case study to prove the efficiency of the integrated data processing method.
topic Satellite altimetry
Data processing
Crossover adjustment
Gravity anomalies
url http://tao.cgu.org.tw/images/attachments/v191-2p093.pdf
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