Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction
文献类型：期刊论文
| 作者 | Zhang, Yunfei2,3; Luo, Cheng2,3; Chen, Haibo4,5; Cui, Wei1,6 ; Lv, Xianqing2,3
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| 刊名 | REMOTE SENSING
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| 出版日期 | 2024-09-01 |
| 卷号 | 16期号:18页码:17 |
| 关键词 | Legendre polynomial fitting satellite observation data analysis internal tide signals correlation analysis |
| DOI | 10.3390/rs16183447 |
| 通讯作者 | Chen, Haibo(chenhb2015@qdio.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | SURFACE MANIFESTATION ; DEEP-OCEAN ; ENERGY ; CIRCULATION ; GENERATION ; SATELLITE ; WAVES ; RIDGE |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:001323844100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/199249]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Chen, Haibo |
| 作者单位 | 1.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China 2.Ocean Univ China, Phys Oceanog Lab, Qingdao 266100, Peoples R China 3.Ocean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth S, Qingdao 266100, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 5.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 6.Minist Nat Resources, Inst Oceanog 1, 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. |
入库方式： OAI收割
来源：海洋研究所
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