Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry
文献类型:期刊论文
作者 | Qiu, Hui1,2; Jin, Shuanggen1,3,4 |
刊名 | REMOTE SENSING
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出版日期 | 2020-02-01 |
卷号 | 12期号:3页码:16 |
关键词 | mean sea surface height Global Navigation Satellite System-Reflectometry (GNSS-R) delay Doppler map Cyclone Global Navigation Satellite System (CYGNSS) specular point |
DOI | 10.3390/rs12030356 |
英文摘要 | Mean sea surface height (MSSH) is an important parameter, which plays an important role in the analysis of the geoid gap and the prediction of ocean dynamics. Traditional measurement methods, such as the buoy and ship survey, have a small cover area, sparse data, and high cost. Recently, the Global Navigation Satellite System-Reflectometry (GNSS-R) and the spaceborne Cyclone Global Navigation Satellite System (CYGNSS) mission, which were launched on 15 December 2016, have provided a new opportunity to estimate MSSH with all-weather, global coverage, high spatial-temporal resolution, rich signal sources, and strong concealability. In this paper, the global MSSH was estimated by using the relationship between the waveform characteristics of the delay waveform (DM) obtained by the delay Doppler map (DDM) of CYGNSS data, which was validated by satellite altimetry. Compared with the altimetry CNES_CLS2015 product provided by AVISO, the mean absolute error was 1.33 m, the root mean square error was 2.26 m, and the correlation coefficient was 0.97. Compared with the sea surface height model DTU10, the mean absolute error was 1.20 m, the root mean square error was 2.15 m, and the correlation coefficient was 0.97. Furthermore, the sea surface height obtained from CYGNSS was consistent with Jason-2 ' s results by the average absolute error of 2.63 m, a root mean square error of 3.56 m and, a correlation coefficientof 0.95. |
WOS关键词 | REFLECTED GPS SIGNALS ; OCEAN ALTIMETRY |
资助项目 | Chinese Academy of Sciences[XDA23040100] ; Jiangsu Province Distinguished Professor Project[R2018T20] ; Startup Foundation for Introducing Talent of NUIST |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000515393800015 |
出版者 | MDPI |
资助机构 | Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST |
源URL | [http://ir.bao.ac.cn/handle/114a11/54405] ![]() |
专题 | 中国科学院国家天文台 |
通讯作者 | Jin, Shuanggen |
作者单位 | 1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China 3.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Surveying Engn, Nanjing 210044, Peoples R China 4.Jiangsu Engn Ctr Collaborat Nav Positioning & Sma, Nanjing 210044, Peoples R China |
推荐引用方式 GB/T 7714 | Qiu, Hui,Jin, Shuanggen. Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry[J]. REMOTE SENSING,2020,12(3):16. |
APA | Qiu, Hui,&Jin, Shuanggen.(2020).Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry.REMOTE SENSING,12(3),16. |
MLA | Qiu, Hui,et al."Global Mean Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry".REMOTE SENSING 12.3(2020):16. |
入库方式: OAI收割
来源:国家天文台
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