A METHOD FOR RECONSTRUCTING BOTTOM TOPOGRAPHY FOR AN ENCLOSED BASIN FROM SCATTERED, SPARSE MEASUREMENT DATA

  • A. F. Shchepetkin Shirshov Institute of Oceanology, Russian Academy of Sciences; Moscow Institute of Physics and Technology
  • O. S. Volodko Institute of Computational Modeling SB RAS; Siberian Federal University
DOI 10.29006/1564-2291.JOR-2018.46(3).5
Keywords reconstruction of gridded field from scattered data, biharmonic spline interpolation, data quality control, regional oceanic modeling system

Abstract

Numerical simulation of circulation and internal waves in a basin requires the knowledge of bottom topography, defined as a continuous and continuously differentiable field (un¬less there are known features of the relief to justify the opposite), which is, unfortunately, not always available with sufficient resolution and coverage. In this article we review ex¬isting techniques for producing regularly gridded field from scattered bathymetry data - in our case raw field data measured by a boat equipped with an echo sounder and GPS - and propose a new one, which we believe is the most optimal for this situation. The technique essentially goes along the line of approach of Sandwell (1987) using Green functions to construct biharmonic spline interpolation, which we augment by adding coastline and in-troduce special preprocessing of measured data to identify and eliminate (by averaging out) potentially contradictory and unreliable measurements which may cause spurious oscillations of biharmonic spline.

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Published
2018-12-24
Issue
Vol 46 No 3 (2018): Journal of Oceanological Research
Section
Ocean physics and climate

Transfer of copyrights occurs on the basis of a license agreement between the Author and Shirshov Institute of Oceanology, RAS