Marine Geophysical Researches

, Volume 7, Issue 1–2, pp 33–54 | Cite as

Adjustment and filtering of seasat altimetry with the least squares response technique

  • Demitris Delikaraoglou


The least squares response technique has been applied to SEASAT altimetry data for the adjustment and filtering of individual profiles without the use of standard crossover analyses. Based on a multichannel input-single output model, the technique allows a straightforward multi-correlation of the altimetry information with different types of forcing inputs. In addition, it can account for other known constituents such as datum biases, linear trends, periodic constituents of known periods and arbitrarily defined user-specified functions.

In this paper, results of this approach are compared with geoid profiles computed from standard geopotential models such as GEM-10B which show a consistently good agreement with rms differences found at the level of the errors at long wavelengths of the geoid model used.


Linear Trend Output Model Offshore Engineer Altimetry Data Force Input 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. BathM. (1974) — “Spectral Analysis in Geophysics”, Elsevier, North-Holland Inc., New York.Google Scholar
  2. BernardJ., F.Barlier, J.P.Bethoux and M.Souriau (1983) — “First SEASAT altimetry data analysis on the Western Mediterranean Sea”, J. Geophys. Res., 88, pp. 1581–1588.Google Scholar
  3. BrownR.D.; W.D.Kahn; D.C.McAdoo; and W.E.Himwich (1983) —“Roughness of the Marine Geoid from SEASAT Altimetry”, J. Geophys. Res., 88, pp. 1531–1540.Google Scholar
  4. CartwrightD.E. (1966) — “A Unified Analysis of Tides and Surges Round North and East Britain”, Phil. Trans. Royal Soc. London (Series A), 263, pp. 1–55.Google Scholar
  5. Delikaraoglou, D. (1980) — “An Investigation onto the Short Wavelength Orbit Improvement and Sea Surface Computation from Local Satellite Tracking and Satellite Altimetry”, Tech. Rep. 74, Department of Surveying Engineering, University New Brunswick.Google Scholar
  6. DixonT.H.; M.Naraghi, M.K.McNutt and S.M.Smith (1983) —“Bathymetric prediction from SEASAT altimeter data”, J. Geophys. Res., 88, pp. 1563–1571.Google Scholar
  7. JonesW.L., L.C.Schroeder, D.H.Boggs, E.M.Bracalente, R.A.Brown, G.J.Dame, W.J.Pierson and F.J.Wentz (1982) — “The SEASAT — A Satellite Scatterometer: The geophysical evaluation of remotely sensed wind vectors over the ocean”, J. Geophys. Res., 87, pp. 3297–3317.Google Scholar
  8. KolenkiewiczR. and C.F.Martin (1982) — “SEASAT Altimeter Height Calibration”, J. Geophys. Res., 87, pp. 3189–3197.Google Scholar
  9. LorellJ.; M.E.Parke; and J.F.Scott (1980) — “SEASAT Geophysical Data Record (GDR) users handbook”, Doc. 622-97, Revision A, Jet Propulsion Lab., Pasadena, Calif., Sept.Google Scholar
  10. LorellJ.; E.Colquitt and R.J.Anderle (1982) — “Ionospheric correction for SEASAT altimeter height measurements”, J. Geophys. Res., 87, pp. 3207–3212.Google Scholar
  11. Merry, C.L. and P. Vanicek (1981) — “The Zero Frequency Response of Sea Level to Meteorological Influences”., Technical Report No. 82, Department of Surveying Engineering, University of New Brunswick.Google Scholar
  12. MunkW.J. and D.E.Cartwright (1966) — “Tidal Spectroscopy and Prediction”, Phil. Trans. Royal Soc. London (Series A), 259, pp. 533–581.Google Scholar
  13. Steeves, R.R. (1981) — “Least Squares Response Analysis and its Application to Tiltmeter Observations”, Ph.D. Dissertation, University of New Brunswick.Google Scholar
  14. TapleyB.D., G.H.Born and M.E.Parke (1982a) — “The SEASAT altimetry data and its accuracy assessment”, J. Geophys. Res., 87, pp. 3179–3188.Google Scholar
  15. TapleyB.D.; J.B.Lundberg and G.H.Born (1982b) — “The SEASAT altimeter wet tropospheric range correction”, J. Geophys. Res, 87, pp. 3213–3220.Google Scholar
  16. VanicekP. (1971) — “Further Development and Properties of the Spectral Analysis by Least Squares”, Astrophysics and Space Science, 12, pp. 10–33.Google Scholar
  17. WagnerC.A. and D.L.Colombo (1979) — “Gravitational spectra from direct measurements”, J. Geophys. Res., 84, pp. 4699–4712.Google Scholar
  18. WagnerC.A. (1979) — “The geoid spectrum from altimetry”, J. Geophys. Res., 84, pp. 3864–3865.Google Scholar
  19. WhiteJ.V., R.V.Sailor, A.R.Lazarewicz and A.R.LeSchack (1983) “Detection of seamount signatures in SEASAT altimeter data using Matched Filters”, J. Geophys. Res., 88, pp. 1541–1551.Google Scholar

Copyright information

© D. Reidel Publishing Company 1984

Authors and Affiliations

  • Demitris Delikaraoglou
    • 1
  1. 1.Surveys and Mapping BranchGeodetic Survey of CanadaOntarioOttawaCanada

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