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Simultaneous retrieval of aerosol and ocean properties by optimal estimation: SeaWiFS case studies for the Santa Barbara Channel 

Authors: W. Li a;  K. Stamnes a;  R. Spurr b; J. Stamnes c
Affiliations:   a Department of Physics & Engineering Physics, Stevens Institute of Technology, Hoboken, New Jersey, USA
b RT Solutions Inc., Cambridge, Massachusetts, USA
c Department of Physics and Technology, University of Bergen, Norway
DOI: 10.1080/01431160802007632
Publication Frequency: 24 issues per year
Published in: journal International Journal of Remote Sensing, Volume 29, Issue 19 October 2008 , pages 5689 - 5698
First Published: October 2008
Formats available: HTML (English) : PDF (English)
Also incorporating: Remote Sensing Reviews
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Abstract

In this work, some sea viewing wide field-of-view sensor (SeaWiFS) images over the Santa Barbara Channel (SBC) are analysed. Pixel-by-pixel measurements of radiances at eight SeaWiFS channels and analytic Jacobians are simulated using a coupled atmosphere-ocean radiative transfer model. The inverse algorithm is based on optimal estimation with loosely constrained a priori data. The five-element state vector has two aerosol (optical depth at 865 nm, bimodal fraction of particles) and three marine (chlorophyll concentration, detrital/dissolved-matter absorption at 443 nm, and backscattering coefficient at 443 nm) parameters. The retrieval is stable and well posed; the results are smoother and show less spread than those derived from the standard SeaDAS v4.8 algorithm. For a 28 February 2003 SeaWiFS image, the average radiance residual is less than 1% for seven SeaWiFS channels, and less than 2% for the 765 nm channel. For a series of SBC SeaWiFS match-up cases over a 4-year period, estimated water-leaving radiances agree well with field measurements.
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