Accession Number:
ADA528083
Title:
Analysis of Remotely Sensed Ocean Data by the Optimal Spectral Decomposition (OSD) Method
Descriptive Note:
Conference paper
Corporate Author:
NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF OCEANOGRAPHY
Personal Author(s):
Report Date:
2010-06-01
Pagination or Media Count:
7.0
Abstract:
A new data analysisassimilation scheme, optimal spectral decomposition OSD, has been developed to reanalyze fields from noisy and sparse data in a domain with open boundary conditions using two scalar representations for a three-dimensional incompressible flow. The reanalysis procedure is divided into two steps a specification of basis functions in the spectral decomposition from knowledge of boundary geometry and velocity and b determination of coefficients in the spectral decomposition for the circulation solving linear or nonlinear regression equations. The basis functions are the eigenfunctions of the Laplacian operator with mixed boundary conditions. The optimization process is used to obtain unique and stable solutions on the base of an iteration procedure with special regularization the filtration. The capability is demonstrated using various examples.
Descriptors:
Subject Categories:
- Physical and Dynamic Oceanography