Refinement of the surface current fields estimated by Remote Sensing

This study uses an objective analysis (OA) method to obtain more realistic data on ocean surface current estimated via Remote Sensing (RS) by OSCAR. This refinement employs surface current data estimated via drift buoys from PNBOIA. The incorporation of buoy data to OSCAR current fields was performe...

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Bibliographic Details
Main Authors: Daher, V. B., de Oliveira Vieira Paes, R. C., Franca, G. B.
Format: Conference Proceeding
Language:English
Subjects:
altimetry
Equations
Interpolation
least squares approximation
Ocean temperature
remote sensing
Sea measurements
Sea surface
Vectors
Online Access:Request full text
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Summary:This study uses an objective analysis (OA) method to obtain more realistic data on ocean surface current estimated via Remote Sensing (RS) by OSCAR. This refinement employs surface current data estimated via drift buoys from PNBOIA. The incorporation of buoy data to OSCAR current fields was performed using an OA method based on the Gauss-Markov Theorem. The results show a slight improvement of OSCAR current fields. The interpolation allowed reducing the difference between OSCAR and buoy vectors an average of 0.0166ms -1 and 7.7892° for the intensity and direction, respectively. In a specific case, this gain came to 0.45ms -1 in intensity and 144° in direction, thus proving that the interpolation can change the current direction up to 144° and its intensity up to 0.45ms -1 , making that the value of the current measured by RS gets closer to the value measured by the buoy.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2012.6350945