中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.3390/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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