IOCAS-IR  > 海洋环流与波动重点实验室
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
Source PublicationREMOTE SENSING
Volume11Issue:10Pages:10
Corresponding AuthorLi, Xiaofeng(lixf@qdio.ac.cn)
AbstractSea 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.
Keywordsea state bias sea level significant wave height
DOI10.3390/rs11101176
Indexed BySCI
Language英语
Funding ProjectGuangdong 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 Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000480524800034
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/162367
Collection海洋环流与波动重点实验室
Corresponding AuthorLi, Xiaofeng
Affiliation1.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
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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.
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