Abstract
An alternative “direct method” to “mean dynamic topography” (MDT) computations using satellite altimetry-derived “mean sea surface” (MSS) and “global geopotential model” (GGM), without direct application of the geoid, is devised. The developed approach, which is based on derivation of an equipotential surface of the gravity field of the Earth that fits to global MSS in least squares sense, is formulated via a constrained optimization problem. The validity of our method is numerically tested by computing a global MDT model based on DNSC08 MSS model and EGM2008 GGM as input data.
Similar content being viewed by others
References
Andersen OB, Knudsen P (2009) DNSC08 Mean Sea Surface and Mean Dynamic Topography models. J Geophys Res 114: C11001. doi:10.1029/2008JC005179
Ardalan AA (2000) High-resolution regional geoid computation in the World Geodetic Datum 2000 based upon collection of linearized observational of the type GPS, gravity potential and gravity intensity. PhD thesis, Department of Geodesy and GeoInformatics, Stuttgart University, Stuttgart. Available at http://elid.uni-stuttgart.de/opus/volltexte/2000/665/pdf/PhDonline.pdf
Barzaghi R, Tselfes N, Tziavos IN, Vergos GS (2009) Geoid and high resolution sea surface topography modeling in the Mediterranean from gravimetry, altimetry and GOCE data: evaluation by simulation. J Geodesy 83:751–772
Bazaraa MS, Sherali HD, Shetty CM (2006) Nonlinear programming: theory and algorithms, 3rd edn. Wiley, New York
Bertsekas DP (1999) Nonlinear programming, 2nd edn. Athena Scientific, Nashua
Bingham R, Haines K, Hughes C (2007) Elementary algorithms for determining the ocean dynamic topography from altimetric and gravity data. European Space Agency (Special Publication) ESA SP, SP-627:269–276
Birol F, Brankart JM, Castruccio F, Brasseur P, Verron J (2004) Impact of ocean mean dynamic topography on satellite data assimilation. Mar Geodesy 27:59–78
Blinken R, Koch AR (2001) Geoid and sea surface topography derived from ERS-1 altimeter data the adjoint method. Stud Geophys Geod 45:235–250
Burša M, Kouba J, Radej KA, True S, Vatrt V, Vojtiskova M (1999a) Temporal variations in sea surface topography and dynamics of the Earth’s inertia ellipsoid. Stud Geophys Geod 43:7–19
Burša M, Kouba J, Muller A, Radej KA, True S, Vatrt V, Vojtiskova M (1999b) Differences between mean sea levels for the Pacific, Atlantic and Indian Oceans from TOPEX/POSEIDON altimetry. Stud Geophys Geod 43:1–6
Castruccio F, Verron J, Gourdeau L, Brankart JM, Brasseur P (2008) Joint altimetric and in-situ data assimilation using the GRACE mean dynamic topography: a 1993–1998 hindcast experiment in the Tropical Pacific Ocean. Ocean Dynamics 58:43–63
Dobricic S (2005) New mean dynamic topography of the Mediterranean calculated from assimilation system diagnostics. Geophys Res Lett 32:L11606. doi:10.1029/2005GL022518
Ekman M, Mäkinen J (1996) Mean sea surface topography in the Baltic Sea and its transition area to the North Sea: a geodetic solution and comparisons with oceanographic models. J Geophys Res 101(C5):11,993–11,999
Engelis T (1987) Spherical harmonic expansion of the Levitus Sea Surface Topography. Report No. 385, The Ohio State University, Research Foundation
Fenoglio L, Kusche J, Becker M (2007) Estimation of mass variation and mean dynamic topography in the Mediterranean Sea from altimetry and GRACE/GOCE GEOID. European Space Agency (Special Publication) ESA SP, SP-627:57–61
Fletcher R (2000) Practical methods of optimization, 2nd edn. Wiley, New York
Foreman MGG, Crawford WR, Cherniawsky JY, Galbraith J (2008) Dynamic ocean topography for the northeast Pacific and its continental margins. Geophys Res Lett 35:L22606. doi:10.1029/2008GL035152
Forsberg R, Skourup H, Andersen O, Laxon S, Ridout A, Braun A, Johannessen J, Siegismund F, Tscherning CC, Knudsen P (2007) Combination of spaceborne, airborne and surface gravity in support of arctic ocean sea-ice and MDT mapping. European Space Agency (Special Publication) ESA SP, SP-627:21–26
Gauss CF (1828) Bestimmung des Breitenunterschiedes zwischen den Sternwarten von Göttingen und Altona. Vandenhoek und Ruprecht, Göttingen
Glenn SM, Porter DL, Robinson AR (1991) A synthetic geoid validation of Geosat mesoscale dynamic topography in the Gulf Stream region. J Geophys Res 96:7145–7166
Gourdeau L, Lemoine JM, Rio MH, Hernandez F (2003) Estimating mean dynamic topography in the Pacific Ocean from gravity and altimetry satellites. Geophys Res Lett 30:1–5
Heiskanen WA, Mortiz H (1967) Physical geodesy. Institute of Physical Geodesy, Technical University of Graz, Austria, W.H. Freeman
Hernandez F, Schaeffer P, Rio MH, Tamagnan D, LeTraon GPY (2001) Mean Dynamic Topography for satellite altimetry: two approaches, from oceanographic data or satellite gravimetry. Journees luxembourgeoises de geodynamique. Session Nº89, Munsbach, Luxembourg (12/11/2001), pp. 19–25
Horne RA, Johnson CR (1990) Matrix analysis. Cambridge University Press, Cambridge. ISBN 0521386322, 9780521386326, p 561
Hunegnaw A, Hipkin RG, Edwards J (2009) A method of error adjustment for marine gravity with application to Mean Dynamic Topography in the northern North Atlantic. J Geodesy 83:161–174
Hwang C (1995) Orthonormal function approach for Geosat determination of sea surface topography. Mar Geodesy 18:245–271
Ichikawa K, Imawaki S (1996) Estimating the sea surface dynamic topography from Geosat altimetry data. J Oceanogr 52:43–68
Ichikawa K, Imawaki S, Ishii H (1995) Comparison of surface velocities determined from altimeter and drifting buoy data. J Oceanogr 51:729–740
Jekeli C (1988) The exact transformation between ellipsoidal and spherical expansions. Manuscr Geod 13:106–113
LeGrand P, Schrama EJO, Tournadre J (2003) An inverse estimate of the dynamic topography of the ocean. Geophys Res Lett 30(2):1062. doi:10.1029/2002GL014917
LeProvost C, Bermond M (2003) Resolution needed for an adequate determination of the mean ocean circulation from altimetry and an improved geoid. Space Sci Rev 108:163–178
Levitus S (1982) Climatological atlas of the world ocean. NOAA Professional Paper 13, Rockville, MD: U.S. Dept. of Commerce
Levitus S, Boyer TP (1994) World Ocean Atlas 1994 volume 4: Temperature NOAA Atlas NESDIS 4, 117 pp. National Ocean and Atmosphere Administration USA
Levitus S, Burgett R, Boyer TP (1994) World Ocean Atlas 1994 volume 3: Salinity NOAA Atlas NESDIS 3, 99 pp. National Ocean and Atmosphere Administration USA
Listing JB (1873) Über unsere jetzige Kenntnis der Gestalt und Größe der Erde. Dietrichsche Verlagsbuchhandlung, Göttingen
Marsh JG, Koblinsky CJ, Lerch F, Klosko SM, Robbins JW, Williamson RG, Patel BG (1990) Dynamic sea surface topography, gravity, and improved orbit accuracies from the direct evaluation of Seasat altimeter data. J Geophys Res 95:129–142
Mitchell JL, Dastugue JM, Teague WJ, Hallock ZR (1990) The estimation of geoid profiles in the Northwest Atlantic from simultaneous satellite altimetry and airborne expendable bathythermograph sections. J Geophys Res 95:17965–17977
Pavlis NK, Holmes SA, Kenyon SC, Factor JK (2008) An Earth gravitational model to degree 2160: EGM2008. Presented at the 2008 General Assembly of the European Geosciences Union, Vienna, Austria, April 13–18, 2008
Qiu B, Kelly KA, Joyce TM (1991) Mean flow and variability of the Kuroshio extension from Geosat altimetry data. J Geophys Res 96:18491–18507
Rao SS (1996) Engineering optimization: theory and practice. 3rd edition, ISBN 0471550345, 9780471550341, Wiley-IEEE, New Jersey
Rapp RH (1998) The development of a degree 360 expansion of the dynamic ocean topography of the POCM 4B global circulation model. Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, Ohio
Rapp RH, Zhang C, Yi Y (1996) Analysis of dynamic ocean topography using TOPEX data and orthonormal functions. J Geophys Res 101:583–605
Rio MH, Hernandez F (2004) A mean dynamic topography computed over the world ocean from altimetry, in situ measurements, and a geoid model. J Geophys Res 109:C12032. doi:10.1029/2003JC002226
Rio MH, Schaeffer P, Hernandez F, Lemoine JM (2005) The estimation of the ocean Mean Dynamic Topography through the combination of altimetric data, in-situ measurements and GRACE geoid: from global to regional studies. Proceedings of the GOCINA International Workshop, Luxembourg
Rio MH, Schaeffer P, Lemoine JM, Larnicol G, Hernandez F (2007) Use of oceanographic in-situ measurements and altimetry to assess the accuracy of present (GRACE) and future (GOCE) geoid models. Impact for the estimation of the ocean mean dynamic topography. European Space Agency (Special Publication) ESA SP, SP-627:57–61
Semtner AJ, Chervin RM (1992) Ocean general circulation from a global eddy-resolving model. J Geophys Res 97:5493–5550
Skachko S, Danilov S, Janjic T, Schroter J, Sidorenko D, Savcenko R, Bosch W (2008) Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model. Ocean Science 4:307–318
Smith RD, Maltrud ME, Bryan FO, Hecht MW (2000) Numerical simulation of the North Atlantic Ocean at 1/10º. J Phys Oceanogr 30:1532–1561
Stammer D, Tokmakian RT, Semtner A, Wunsch C (1996) How well does a 1/4° global circulation model simulate the large-scale oceanic observations? J Geophys Res 101:25779–25881
Uchida H, Imawaki S, Hu J-H (1998) Comparison of Kuroshio surface velocities derived from satellite altimetry and drifting buoy data. J Oceanogr 54:115–122
Vianna ML, Menezes VV, Chambers DP (2007) A high resolution satellite-only GRACE-based mean dynamic topography of the South Atlantic Ocean. Geophys Res Lett 34:L24604. doi:10.1029/2007GL031912
Vossepoel FC (2007) Uncertainties in the mean ocean dynamic topography before the launch of the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE). J Geophys Res 112:C05010. doi:10.1029/2006JC003891
Acknowledgments
The authors are grateful to the University of Tehran for support of this work via research grant No. 8151007.1.02. The authors would like also to thank the anonymous reviewers for their constructive comments and corrections which helped to improve the initial version of the paper.
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible Editor: Richard John Greatbatch
Appendices
Appendix 1
1.1 (Ellipsoidal harmonic expansion of gravity potential field of the Earth in terms of Jacobi ellipsoidal coordinates {β, λ, η})
Gravity potential field of the Earth as the additive summation of the gravitational potential U(β, λ, η) and the centrifugal potential V(β, η) can be written as follows:
Where the ellipsoidal harmonic expansion of the gravitational field of the Earth U(β, λ, η) as the solution of ellipsoidal Dirichlet boundary value problem in terms of Jacobi ellipsoidal coordinates {β, λ, η} reads as follows (see Ardalan 2000 for details):
The Jacobi ellipsoidal coordinates {β, λ, η} are related to the Cartesian coordinates {x, y, z} as follows (see Ardalan 2000 for more details):
In Eq. 20, u nm are the normalized ellipsoidal harmonic coefficients, and \( {\eta_0} = {\cosh^{ - 1}}\left( {{a \mathord{\left/{\vphantom {a {\sqrt {{{a^2} - {b^2}}} }}} \right.} {\sqrt {{{a^2} - {b^2}}} }}} \right) \) specifies the surface of the reference ellipsoid. In Eq. 20 \( Q_{n\left| m \right|}^*\left( {\sinh \eta } \right) \) are fully normalized associated Legendre functions of the second kind and e nm (β, λ) are surface ellipsoidal harmonics with the following definition.
where the fully normalized \( P_{n\left| m \right|}^* \) associated Legendre functions of the first kind appearing in Eq. 22 are related to associated Legendre functions of first kind \( {P_{n\left| m \right|}} \) as follows:
The centrifugal potential in terms of Jacobi ellipsoidal coordinates can be presented as:
where ω is the angular velocity of the Earth and \( \varepsilon = \sqrt {{{a^2} - {b^2}}} \) is the linear eccentricity.
Appendix 2
2.1 (Computation of the coefficient matrix A defined by Eq. 9)
For calculation of ∂W/∂H we have:
Since P and \( P\prime \) in Fig. 1 are along normal to surface of reference ellipsoid, therefore (see Ardalan 2000 for details):
Therefore, Eq. 25 can be written as follows:
where
where η is the Jacobi ellipsoidal coordinate which is related to the Cartesian coordinates {x, y, z} as follows (see Ardalan 2000 for more details):
and
where
In Eq. 31, a is semi-major and b is semi-minor axis of the reference ellipsoid. The derivatives ∂η/∂x, ∂η/∂y, and ∂η/∂z can be readily derived by symbolic operation within, for example, “MATLAB”, “MAPLE”, or “MATHEMATICA” software. For the computation of ∂W/∂η, we refer to Ardalan (2000).
Rights and permissions
About this article
Cite this article
Karimi, R., Ardalan, A.A. An alternative direct method towards mean dynamic topography computations. Ocean Dynamics 60, 555–562 (2010). https://doi.org/10.1007/s10236-010-0275-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10236-010-0275-5