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Optimal filtering of mean dynamic topography models

Per Knudsen(1), Ole Andersen(1) and Toke Beck Andersson(1)

(1) Danish National Space Center, Juliane Maries Vej 30, 2100 Copenhagen, Denmark

Abstract

Least squares collocation is an estimation technique where discretely located observations of different kinds can be integrated. The technique allows a rigorous description of the full covariance associated with signal, the errors as well as the estimated quantities. In this presentation error covariances associated with the ocean dynamic topography are analysed and described. The multi-disciplinary project "Geoid and Ocean Circulation in the North Atlantic (GOCINA)" aims at enhancing the capacity in Earth observation using data from the European Space Agency missions ENVISAT and GOCE. In this study the techniques are applied to enhance the estimation of the Mean Dynamic Topography using the high resolution Mean Sea Surface KMS04 and the geoid model GGM02S from GRACE. Especially, for modeling marine quantities with incomplete global coverage the methods have its advantages compared to a regular expansion into spherical harmonic functions. Furthermore, the full spectrum error covariances may be derived.

 

Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry