Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Sea State Bias Variability in Satellite Altimetry Data | |
Cheng, Yongcun1,2; Xu, Qing3; Gao, Le4,5; Li, Xiaofeng4,5; Zou, Bin6; Liu, Ting6 | |
2019-05-02 | |
发表期刊 | REMOTE SENSING |
卷号 | 11期号:10页码:10 |
通讯作者 | Li, Xiaofeng([email protected]) |
摘要 | Sea State Bias (SSB) contributes to global mean sea level variability and it needs cm-level range adjustment due to the instrumental drift over time. To investigate its variations and correct the global and regional sea level trend precisely, we calculate the temporal and spatial variability of the SSB correction in TOPEX, Jason-1, Jason-2 and Jason-3 missions, separately, as well as in the combined missions over the period 1993-2017. The long-term trend in global mean operational 2D non-parametric SSB correction is about -0.03 +/- 0.03 mm/yr, which accounts for 1% of current global mean sea level change rate during 1993-2016. This correction contributes to sea level change rates of -1.27 +/- 0.21 mm/yr and -0.26 +/- 0.13 mm/yr in TOPEX-A and Jason-2 missions, respectively. The global mean SSB varies up to 7-10 mm during the very strong ENSO events in 1997-1998 and 2015-2016. Furthermore, the TOPEX SSB trend, which is consistent with recently reported sea level trend drift during 1993-1998, may leak into the determined global sea level trend in the period. Moreover, the Jason-1/2 zonal SSB variability is highly correlated with the significant wave height (SWH). On zonal average, SSB correction causes about 1% uncertainty in mean sea level trend. At high SWH regions, the uncertainties grow to 2-4% near the 50 degrees N and 60 degrees S bands. This should be considered in the study of regional sea level variability. |
关键词 | sea state bias sea level significant wave height |
DOI | 10.3390/rs11101176 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Guangdong Special Fund Program for Marine Economy Development[GDME-2018B001]###3010; Dayu Scholar Program###3011; CAS (Chinese Academy of Sciences) 100 Talent Program[Y9KY04101L]###3012; National Natural Science Foundation for Young Scientists of China[41606200]###3013; National Key R&D Program of China[2016YFC1401008]###3014; Guangdong Special Fund Program for Marine Economy Development[GDME-2018B001]; Dayu Scholar Program; CAS (Chinese Academy of Sciences) 100 Talent Program[Y9KY04101L]; National Natural Science Foundation for Young Scientists of China[41606200]; National Key R&D Program of China[2016YFC1401008] |
WOS研究方向 | Remote Sensing |
WOS类目 | Remote Sensing |
WOS记录号 | WOS:000480524800034 |
出版者 | MDPI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/162367 |
专题 | 海洋环流与波动重点实验室 |
通讯作者 | Li, Xiaofeng |
作者单位 | 1.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China 2.Shenzhen AeroImgInfo Technol Co Ltd, Shenzhen 518000, Peoples R China 3.Hohai Univ, Coll Oceanog, Nanjing 210098, Jiangsu, Peoples R China 4.Chinese Acad Sci, CAS Key Lab Ocean Circulat & Waves, Inst Oceanol, Qingdao 266071, Shandong, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Shandong, Peoples R China 6.State Ocean Adm, NSOAS, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China |
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 | Cheng, Yongcun,Xu, Qing,Gao, Le,et al. Sea State Bias Variability in Satellite Altimetry Data[J]. REMOTE SENSING,2019,11(10):10. |
APA | Cheng, Yongcun,Xu, Qing,Gao, Le,Li, Xiaofeng,Zou, Bin,&Liu, Ting.(2019).Sea State Bias Variability in Satellite Altimetry Data.REMOTE SENSING,11(10),10. |
MLA | Cheng, Yongcun,et al."Sea State Bias Variability in Satellite Altimetry Data".REMOTE SENSING 11.10(2019):10. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Sea State Bias Varia(6191KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 |
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