Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction

doi:10.3390/rs16183447

IOCAS-IR > 海洋环流与波动重点实验室

	Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction
	Zhang, Yunfei 1,2; Luo, Cheng 1,2; Chen, Haibo 3,4; Cui, Wei5,6 ; Lv, Xianqing 1,2
	2024-09-01
发表期刊	REMOTE SENSING
卷号	16 期号:18 页码:17
通讯作者	Chen, Haibo([email protected])
摘要	This study employs the two-dimensional Legendre polynomial fitting (2-D LPF) method to fit M2 tidal harmonic constants from satellite altimetry data within the region of 53 degrees E-131 degrees E, 34 degrees S-6 degrees N, extracting internal tide signals acting on the sea surface. The M2 tidal harmonic constants are derived from the sea surface height (SSH) data of the TOPEX/Poseidon (T/P), Jason-1, Jason-2, and Jason-3 satellites via t-tide analysis. We validate the 2-D LPF method against the 300 km moving average (300 km smooth) method and the one-dimensional Legendre polynomial fitting (1-D LPF) method. Through cross-validation across 42 orbits, the optimal polynomial orders are determined to be seven for 1-D LPF, and eight and seven for the longitudinal and latitudinal directions in 2-D LPF, respectively. The 2-D LPF method demonstrated superior spatial continuity and smoothness of internal tide signals. Further single-orbit correlation analysis confirmed generally higher correlation with topographic and density perturbations (correlation coefficients: 0.502, 0.620, 0.245; 0.420, 0.273, -0.101), underscoring its accuracy. Overall, the 2-D LPF method can use all regional data points, overcoming the limitations of single-orbit approaches and proving its effectiveness in extracting internal tide signals acting on the sea surface.
关键词	Legendre polynomial fitting satellite observation data analysis internal tide signals correlation analysis
DOI	10.3390/rs16183447
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Project of China; National Natural Science Foundation of China[42076011]; National Natural Science Foundation of China[U1806214]; National Natural Science Foundation of China[LSKJ202202402]; Chinese Academy of Sciences; [2022YFC2808304]; [2019YFC1408405]; [2020YFA0608800]
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:001323844100001
出版者	MDPI
WOS关键词	SURFACE MANIFESTATION ; DEEP-OCEAN ; ENERGY ; CIRCULATION ; GENERATION ; SATELLITE ; WAVES ; RIDGE
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/199250
专题	海洋环流与波动重点实验室
通讯作者	Chen, Haibo
作者单位	1.Ocean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth S, Qingdao 266100, Peoples R China 2.Ocean Univ China, Phys Oceanog Lab, Qingdao 266100, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 5.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 6.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yunfei,Luo, Cheng,Chen, Haibo,et al. Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction[J]. REMOTE SENSING,2024,16(18):17.
APA	Zhang, Yunfei,Luo, Cheng,Chen, Haibo,Cui, Wei,&Lv, Xianqing.(2024).Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction.REMOTE SENSING,16(18),17.
MLA	Zhang, Yunfei,et al."Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction".REMOTE SENSING 16.18(2024):17.