Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Sea Surface Height Wavenumber Spectrum from Airborne Interferometric Radar Altimeter | |
He, Jinchao1; Xu, Yongsheng1,2,3,4; Sun, Hanwei5; Jiang, Qiufu1; Yang, Lei6; Kong, Weiya5; Liu, Yalong7 | |
2024-04-01 | |
发表期刊 | REMOTE SENSING |
卷号 | 16期号:8页码:13 |
通讯作者 | Xu, Yongsheng([email protected]) |
摘要 | The proposed "Guanlan" ocean science satellite, led by China's Laoshan Laboratory, includes an interferometric radar altimeter (IRA) as a key payload. As an integral part of its development, an airborne IRA experiment was conducted on 6 November 2021, with a flight path of approximately 90 km in the South China Sea. This study investigates the IRA's ability to observe ocean sea surface height (SSH) across scales ranging from meters to mesoscale. The sea surface height anomaly (SSHA) of the IRA is aligned with the SSHA of the AVISO at scales greater than 30 km, but also demonstrates the ability to capture small-scale SSHA changes in two dimensions. We analyzed wavenumber spectra of SSHA obtained from the airborne IRA, ICESat-2, and SARAL/AltiKa satellite for this region. The results show a good agreement in power spectral density (PSD) levels between ICESat-2, SARAL/AltiKa and IRA at scales larger than 30 km. Within the submesoscale range of 1-10 km, the IRA SSHA spectrum exhibits a distinctly negative slope and the lowest energy level. The minimum PSD level of the IRA fell in the range of 10-4-10-3 m2/cycle/km, at scales around 1 km, which is more than an order of magnitude lower than that of ICESat-2, forming a spectral gap that is in agreement with the theoretical expectation. Furthermore, IRA-derived wave direction and significant wave height matched well with the MFWAM wave data. The results of this study underscore the considerable potential of airborne IRA in capturing SSHA across a range of scales, from oceanic waves to submesoscale. |
关键词 | airborne interferometric altimeter wave number spectrum analysis submesoscale |
DOI | 10.3390/rs16081359 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Laoshan Laboratory science and technology innovation projects |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001210125700001 |
出版者 | MDPI |
WOS关键词 | OCEAN SURFACE ; WATER ; TOPOGRAPHY ; PROGRESS ; MOTIONS ; SCALE ; RIVER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/185605 |
专题 | 海洋环流与波动重点实验室 |
通讯作者 | Xu, Yongsheng |
作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Laoshan Lab, Qingdao 266373, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci & Technol, Qingdao 266071, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Beijing Inst Radio Measurement, Beijing 100854, Peoples R China 6.Minist Nat Resources, Inst Oceanog 1, Marine Survey Res Ctr, Qingdao 266061, Peoples R China 7.Minist Nat Resources, Yantai Marine Ctr, Yantai 264006, Peoples R China |
第一作者单位 | 中国科学院海洋研究所 |
通讯作者单位 | 中国科学院海洋研究所 |
推荐引用方式 GB/T 7714 | He, Jinchao,Xu, Yongsheng,Sun, Hanwei,et al. Sea Surface Height Wavenumber Spectrum from Airborne Interferometric Radar Altimeter[J]. REMOTE SENSING,2024,16(8):13. |
APA | He, Jinchao.,Xu, Yongsheng.,Sun, Hanwei.,Jiang, Qiufu.,Yang, Lei.,...&Liu, Yalong.(2024).Sea Surface Height Wavenumber Spectrum from Airborne Interferometric Radar Altimeter.REMOTE SENSING,16(8),13. |
MLA | He, Jinchao,et al."Sea Surface Height Wavenumber Spectrum from Airborne Interferometric Radar Altimeter".REMOTE SENSING 16.8(2024):13. |
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