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Proceedings Paper

Analytic Jacobians for ocean color retrieval: linearization of the coupled atmosphere-ocean discrete ordinate model
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Paper Abstract

Recent work has shown the need for accurate treatment of radiative transfer in ocean color retrieval. The plane-parallel coupled atmosphere-ocean discrete ordinate model CAO-DISORT has been used to investigate the validity of current approximative inverse methods and to study new techniques for improved ocean color retrieval. In this paper we show that CAO-DISORT is fully differentiable with respect to its input optical properties, so that we can define analytic Jacobians with respect to any profile element in the atmosphere and ocean. A single call to the linearized model will produce radiances and Jacobians at arbitrary optical depth and viewing geometry in either medium. The model also has a pseudo-spherical treatment for solar beam attenuation in a curved atmosphere. The linearized model can be used directly in iterative least-squares retrievals requiring forward model simulations of backscatter measurements and their parameter derivatives; there is no need for approximations involving an atmospheric correction. We demonstrate the model's new capability by performing closed-loop least squares fitting to simultaneously retrieve the aerosol optical thickness and marine chlorophyll concentration from a set of 6 synthetic measurements at SeaWifs wavelengths.

Paper Details

Date Published: 20 January 2005
PDF: 12 pages
Proc. SPIE 5656, Active and Passive Remote Sensing of the Oceans, (20 January 2005); doi: 10.1117/12.577855
Show Author Affiliations
Robert J. D. Spurr, Smithsonian Astrophysical Observatory (United States)
Knut H. Stamnes, Stevens Institute of Technology (United States)
Hans Arthur Eide, Stevens Institute of Technology (United States)
Wei Li, Stevens Institute of Technology (United States)
Jakob J. Stamnes, Univ. of Bergen (Norway)

Published in SPIE Proceedings Vol. 5656:
Active and Passive Remote Sensing of the Oceans
Robert J. Frouin; Hiroshi Kawamura; Delu Pan, Editor(s)

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