Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction

doi:10.1080/01431161.2019.1606959

	Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction
	Fu, Yanguang 1,2; Zhou, Xinghua 1,2; Sun, Weikang 1; Tang, Qiuhua 2
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:20 页码:7817-7829
ISSN号	0143-1161
DOI	10.1080/01431161.2019.1606959
英文摘要	In this study, to meet the need for the accurate prediction of sea level anomaly (SLA), a hybrid model is proposed. In this model, empirical mode decomposition is combined with singular spectrum analysis and least-squares extrapolation to predict satellite-derived SLA. Each intrinsic mode function series of an empirical mode decomposition is decomposed and reconstructed using singular spectrum analysis. The reconstructed components and the residual series are predicted using least-squares extrapolation. This hybrid model was used for satellite-derived SLAs that were obtained using multi-mission along-track satellite altimetry data from September 1992 to January 2018, and the prediction errors for 3 years lead times were analysed. The observations and predictions of the principal components for annual or interannual periods correlated well, and the proposed hybrid model effectively predicted the SLAs. For the 3 years lead time predictions, the mean absolute error and root-mean-square error were 1.03 and 1.32 cm, respectively, which were less than those reported for existing methods.
资助项目	National Natural Science Foundation of China[41876111] ; National Natural Science Foundation of China[41706115] ; National Natural Science Foundation of China[41806214]
WOS关键词	NEURAL-NETWORKS
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000478019100008
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/24595]
专题	自然资源部第一海洋研究所
通讯作者	Fu, Yanguang
作者单位	1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Shandong, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Fu, Yanguang,Zhou, Xinghua,Sun, Weikang,et al. Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(20):7817-7829.
APA	Fu, Yanguang,Zhou, Xinghua,Sun, Weikang,&Tang, Qiuhua.(2019).Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(20),7817-7829.
MLA	Fu, Yanguang,et al."Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.20(2019):7817-7829.