Advanced search
Publication Cover
Marine Geodesy Volume 40, 2017 - Issue 5
Submit an article Journal homepage
233
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

Bathymetry Inversion with the Gravity-Geologic Method: A Study of Long-Wavelength Gravity Modeling Based on Adaptive Mesh

Xueshuang XiangQian Xuesen Laboratory of Space Technology, Beijing, China
,
Xiaoyun WanQian Xuesen Laboratory of Space Technology, Beijing, ChinaCorrespondence[email protected]
,
Running ZhangBeijing Institute of Spacecraft System Engineering, Beijing, China
,
Yang LiDong Fanghong Satellite Limited Company, Beijing, China
,
Xiaohong SuiDong Fanghong Satellite Limited Company, Beijing, China
&
Wenbin WangKey Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China
Pages 329-340 | Received 10 Oct 2016, Accepted 22 May 2017, Published online: 10 Jul 2017

References

  • Babuska, I., and C. Rheinboldt. 1978. Error estimates for adaptive finite element computations. SIAM Journal on Numerical Analysis 15:736–754.
  • Bhattacharyya, R., and T. Majumdar. 2009. Bathymetry prediction over a part of the Bombay High in the western offshore using very high resolution satellite gravity data. Current Science India 97(8):1152–61.
  • Calmant, S. 1994. Seamount topography by least-squares inversion of altimetric geoid heights and shipborne profiles of bathymetry and/or gravity anomalies. Geophysical Journal of International 119:428–452.
  • Calmant, S., and N. Baudry. 1996. Modelling bathymetry by inverting satellite altimetry data: A review. Marine Geophysical Research 18:12–134.
  • Dixon, T., and M. Naraghi. 1983. Bathymetric prediction from SEASAT altimeter data. Journal of Geophysical Research 88:1563–1571.
  • Heiskanen, W., and H. Moritz. 1967. Physical Geodesy. San Francisco, CA: W.H. Freeman and Company.
  • Hsiao, Y., C. Hwang, Y. Cheng, L. C. Chen, H. J. Hsu, J. H. Tsai, C. L. Liu, C. C. Wang, Y. C. Liu, and Y. C. Kao. 2016. High-resolution depth and coastline over major atolls of South China Sea from satellite altimetry and imagery. Remote Sensing of Environment 176:69–83.
  • Hsiao, Y., J. Kim, K. Kim, B. Y. Lee, and C. W. Hwang. 2011. Bathymetry estimation using the gravity-geologic method: An investigation of density contrast predicted by downward continuation method. Terrestrial, Atmospheric and Oceanic Sciences 21(3):347–58.
  • Hu, M., J. Li, H. Li, C. Y. Shen, T. Y. Jin, and L. L. Xing. 2015a. Predicting global seafloor topography using multi-source data. Marine Geodesy 37:176–189.
  • Hu, M., J. Li, H. Li, C. Shen, and L. Xing. 2015b. A program for bathymetry prediction form vertical gravity gradient anomalies and ship soundings. Arabian Journal of Geosciences 8(7):4509–4515.
  • Hwang, C. 1999. A bathymetric model for the South China Sea from altimetry and depth data. Marine Geodesy 22:37–51.
  • Hwang, C., and E. Chang. 2014. Seafloor secrets revealed. Science 346(6205):32–33.
  • Ibrahim, A., and W. Hinze. 1972. Mapping buried bedrock topography with gravity. Ground Water 10:18–23.
  • Jena, B., P. J. Kurian, D. Swain, A. Tyagi, and R. Ravindra. 2012. Prediction of bathymetry from satellite altimeter based gravity in the Arabian Sea: Mapping of two unnamed deep seamounts. International Journal of Applied Earth Observation and Geoinformation 12:1–4.
  • Kim, J., R. Frese, B. Lee, D. R. Roman, and S. J. Doh. 2011. Altimetry-derived gravity predictions of bathymetry by gravity-geologic method. Pure and Applied Geophysics 168:815–26.
  • Ouyang, M., A. Sun, and Z. Zhai. 2014. Predicting bathymetry in South China Sea using the gravity geologic method. Chinese Journal of Geophysics 57(9):2756–2765.
  • Sandwell, D., R. Muller, W. Smith, E. Garcia, and R. Francis. 2014a. Richard Francis. New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure. Science 346(6205):65–67.
  • Sandwell, D., E. Carcla, and W. Smith. 2014b. Recent improvements in arctic and antarctic marine gravity: Unique contributions from CryoSat-2, Jason-1, Envisat, Geosat and ERS-1/2. American Geophysical Union Fall Meeting, San Francisco, 15–19 December 2014, abstract #C11D-01.
  • Sandwell, D., W. Smith, S. Gille, S. Jayne, K. Soofi, and B. Coakley. 2001. Bathymetry from space: White paper in support of a high-resolution, ocean altimeter mission. Version 1.5. Available from http://topex.ucsd.edu/marine_grav/white_paper.pdf
  • Sandwell, D., W. Smith, S. Gille, E. Kappel, S. Jayne, K. Soofi, B. Coakley, and L. Géli. 2006. Bathymetry from Space: Rationale and requirements for a new, high-resolution altimetric mission. Computes Rendus Geoscience 338(14–15):1049–1062.
  • Sichoix, L., and A. Bonneville. 1996. Prediction of bathymetry in French Polynesia constrained by shipboard data. Geophysical Research Letters 23(18):2469–72.
  • Smith, W., and D. Sandwell. 1997. Global sea floor topography from satellite altimetry and ship depth soundings. Science 277(26):1956–1962.
  • Wang, Y. 2000. Predicting bathymetry from the Earth's gravity gradient anomalies. Marine Geodesy 23:251–258.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.