Large scale dynamic estimation of ocean surface temperature

Author

Fieguth, P.W. ; Khellah, F.M. ; Murray, M.J. ; Allen, M.R.

Author_Institution

Waterloo Univ., Ont., Canada

Volume

3

fYear

1999

fDate

1999

Firstpage

1826

Abstract

This paper addresses the dynamic estimation of the ocean surface temperature based on data from the Along-Track Scanning Radiometer (ATSR) for large (512×512) fields. For such huge problems, the conventional dynamic estimation tool (the Kalman filter) is not directly applicable, instead, we develop a recursive estimation algorithm that emulates the Kalman filter. Our approach uses a multiscale estimation algorithm for the update step, and makes simplifying assumptions about the surface dynamics leading to a computationally efficient prediction step

Keywords

Kalman filters; geophysical signal processing; image processing; oceanographic techniques; prediction theory; radiometry; recursive estimation; recursive filters; ATSR data; Along-Track Scanning Radiometer data; Kalman filter; large scale dynamic estimation; multiscale estimation algorithm; ocean surface temperature; prediction step; recursive estimation algorithm; update step; Filters; Large-scale systems; Ocean temperature; Predictive models; Radiometry; Recursive estimation; Sea measurements; Sea surface; State estimation; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.772108

Filename

772108