Citation: | Yikai Feng, Yanguang Fu, Long Yang, Dongxu Zhou. Contributions of annual and semiannual tidal constituents to chart datum in the China seas and adjacent waters[J]. Acta Oceanologica Sinica, 2023, 42(10): 127-136. doi: 10.1007/s13131-023-2231-5 |
Andersen O B, Scharroo R. 2011. Range and geophysical corrections in coastal regions: and implications for mean sea surface determination. In: Vignudelli S, Kostianoy A G, Cipollini P, et al. , eds. Coastal Altimetry. Berlin, Heidelberg: Springer-Verlag, 103–145,
|
Cheng Yongcun, Andersen O B. 2011. Multimission empirical ocean tide modeling for shallow waters and polar seas. Journal of Geophysical Research: Oceans, 116(C11): C11001. doi: 10.1029/2011JC007172
|
Cheng Yongcun, Xu Qing, Zhang Yuan. 2016. Tidal estimation from TOPEX/Poseidon, Jason Primary, and interleaved missions in the Bohai, Yellow, and East China seas. Journal of Coastal Research, 32(4): 966–973. doi: 10.2112/JCOASTRES-D-14-00209.1
|
Cherniawsky J Y, Foreman M G G, Kang S K, et al. 2010. 18.6-year lunar nodal tides from altimeter data. Continental Shelf Research, 30(6): 575–587. doi: 10.1016/j.csr.2009.10.002
|
Daher V B, de Oliveira Vieira Paes R C, França G B, et al. 2015. Extraction of tide constituents by harmonic analysis using altimetry satellite data in the Brazilian coast. Journal of Atmospheric and Oceanic Technology, 32(3): 614–626. doi: 10.1175/JTECH-D-14-00091.1
|
Egbert G D, Erofeeva S Y. 2002. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 19(2): 183–204. doi: 10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2
|
El-Diasty M. 2020. Optimal lowest astronomical tide estimation using maximum likelihood estimator with multiple ocean models hybridization. ISPRS International Journal of Geo-Information, 9(5): 327. doi: 10.3390/ijgi9050327
|
Fang Guohong, Wang Yonggang, Wei Zexun, et al. 2004. Empirical cotidal charts of the Bohai, Yellow, and East China seas from 10 years of TOPEX/Poseidon altimetry. Journal of Geophysical Research: Oceans, 109(C11): C11006. doi: 10.1029/2004JC002484
|
Feng Xiangbo, Tsimplis M N, Marcos M, et al. 2015. Spatial and temporal variations of the seasonal sea level cycle in the Northwest Pacific. Journal of Geophysical Research: Oceans, 120(10): 7091–7112. doi: 10.1002/2015JC011154
|
Fu Yanguang, Feng Yikai, Zhou Dongxu, et al. 2020a. Accuracy assessment of global ocean tide models in the South China Sea using satellite altimeter and tide gauge data. Acta Oceanologica Sinica, 39(12): 1–10. doi: 10.1007/s13131-020-1685-y
|
Fu Yanguang, Zhou Dongxu, Zhou Xinghua, et al. 2020b. Evaluation of satellite-derived tidal constituents in the South China Sea by adopting the most suitable geophysical correction models. Journal of Oceanography, 76(3): 183–196. doi: 10.1007/s10872-019-00537-2
|
Gill S K, Schultz J R. 2001. Tidal Datums and their Applications. Silver Spring, MD, USA: NOAA
|
Guo Jinyun, Hwang C, Deng Xiaoli. 2022. Editorial: Application of satellite altimetry in marine geodesy and geophysics. Frontiers in Earth Science, 10: 910562. doi: 10.3389/feart.2022.910562
|
Handoko E Y, Fernandes M J, Lázaro C. 2017. Assessment of altimetric range and geophysical corrections and mean sea surface models—Impacts on sea level variability around the Indonesian seas. Remote Sensing, 9(2): 102. doi: 10.3390/rs9020102
|
Hart-Davis M G, Piccioni G, Dettmering D, et al. 2021. EOT20: a global ocean tide model from multi-mission satellite altimetry. Earth System Science Data, 13(8): 3869–3884. doi: 10.5194/essd-13-3869-2021
|
Iliffe J C, Ziebart M K, Turner J F, et al. 2013. Accuracy of vertical datum surfaces in coastal and offshore zones. Survey Review, 45(331): 254–262. doi: 10.1179/1752270613Y.0000000040
|
Ke Hao, Li Fei, Ai Songtao, et al. 2020. Establishment of chart datum and vertical datum transformation for hydrography in the Chinese Great Wall Bay, Antarctic Peninsula. Journal of Surveying Engineering, 146(2): 05020003. doi: 10.1061/(ASCE)SU.1943-5428.0000312
|
Li Jie, Fu Yanguang, Tang Qiuhua, et al. 2020. Accuracy assessment of a seamless depth datum model established on the basis of the global ocean tide model. Journal of Coastal Research, 99(S1): 74–78. doi: 10.2112/SI99-011.1
|
Lyard F H, Allain D J, Cancet M, et al. 2021. FES2014 global ocean tide atlas: design and performance. Ocean Science, 17(3): 615–649. doi: 10.5194/os-17-615-2021
|
Matsumoto K, Takanezawa T, Ooe M. 2000. Ocean tide models developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: a global model and a regional model around Japan. Journal of Oceanography, 56(5): 567–581. doi: 10.1023/A:1011157212596
|
Pan Haidong, Lv Xianqing, Wang Yingying, et al. 2018. Exploration of tidal-fluvial interaction in the Columbia River estuary using S_TIDE. Journal of Geophysical Research: Oceans, 123(9): 6598–6619. doi: 10.1029/2018JC014146
|
Parker B, Milbert D, Hess K, et al. 2003. National VDatum—the implementation of a national vertical datum transformation database. Sea Technology, 44(9): 10–15
|
Pascual A, Boone C, Larnicol G, et al. 2009. On the quality of real-time altimeter gridded fields: comparison with in situ data. Journal of Atmospheric and Oceanic Technology, 26(3): 556–569. doi: 10.1175/2008JTECHO556.1
|
Piccioni G, Dettmering D, Bosch W, et al. 2019. TICON: Tidal Constants based on GESLA sea-level records from globally located tide gauges. Geoscience Data Journal, 6(2): 97–104. doi: 10.1002/gdj3.72
|
Ruiz-Etcheverry L A, Saraceno M, Piola A R, et al. 2015. A comparison of the annual cycle of sea level in coastal areas from gridded satellite altimetry and tide gauges. Continental Shelf Research, 92: 87–97. doi: 10.1016/j.csr.2014.10.006
|
Scharroo R, Leuliette E, Lillibridge J, et al. 2013. RADS: Consistent multi-mission products. In: Symposium on 20 Years of Progress in Radar Altimetry. Venice, Italy: ESA
|
Schlax M G, Chelton D B. 1994. Aliased tidal errors in TOPEX/POSEIDON sea surface height data. Journal of Geophysical Research: Oceans, 99(C12): 24761–24775. doi: 10.1029/94JC01925
|
Shum C K, Woodworth P L, Andersen O B, et al. 1997. Accuracy assessment of recent ocean tide models. Journal of Geophysical Research: Oceans, 102(C11): 25173–25194. doi: 10.1029/97JC00445
|
Slobbe D C, Sumihar J, Frederikse T, et al. 2018. A Kalman filter approach to realize the lowest astronomical tide surface. Marine Geodesy, 41(1): 44–67. doi: 10.1080/01490419.2017.1391900
|
Stammer D, Ray R D, Andersen O B, et al. 2014. Accuracy assessment of global barotropic ocean tide models. Reviews of Geophysics, 52(3): 243–282. doi: 10.1002/2014RG000450
|
State Administration for Market Regulation, Standardization Administration of the People’s Republic of China. 2022. GB12327-2022 Specifications for hydrographic survey (in Chinese). Beijing: Standards Press of China
|
Wei Zexun, Pan Haidong, Xu Tengfei, et al. 2022. Development history of the numerical simulation of tides in the East Asian marginal seas: An overview. Journal of Marine Science and Engineering, 10(7): 984. doi: 10.3390/jmse10070984
|
Woodworth P L, Hunter J R, Marcos M, et al. 2016. Towards a global higher-frequency sea level dataset. Geoscience Data Journal, 3(2): 50–59. doi: 10.1002/gdj3.42
|
Wu Wei, Myers E, Shi Lei, et al. 2019. Modeling tidal datums and spatially varying uncertainty in the Texas and western Louisiana coastal waters. Journal of Marine Science and Engineering, 7(2): 44. doi: 10.3390/jmse7020044
|
Wunsch C. 1967. The long-period tides. Reviews of Geophysics, 5(4): 447–475. doi: 10.1029/RG005i004p00447
|
Yang Zizang, Myers E P, White S A. 2010. VDatum for eastern Louisiana and Mississippi coastal waters: tidal datums, marine grids, and sea surface topography. In: NOAA Technical Memorandum NOS CS 19. Silver Spring, Maryland, USA: National Oceanic and Atmospheric Administration
|
Yuan Jiajia, Guo Jinyun, Zhu Chengcheng, et al. 2023. SDUST2020 MSS: a global 1′ × 1′ mean sea surface model determined from multi-satellite altimetry data. Earth System Science Data, 15(1): 155–169. doi: 10.5194/essd-15-155-2023
|
Yusof N H M, Mahmud M R, Abdullah M H. 2017. Effect of long term tidal constituents on mean sea level trend during El-Niño and La-Niña phenomena. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W5: 225–234
|