Simultaneous retrieval of aerosol and ocean properties by optimal estimation: SeaWiFS case studies for the Santa Barbara Channel |
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| Authors: | W. Li K. Stamnes R. Spurr J. Stamnes |
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| Affiliation: | 1. Department of Physics &2. Engineering Physics , Stevens Institute of Technology , Hoboken, New Jersey, USA Wei.Li@stevens.edu;4. Engineering Physics , Stevens Institute of Technology , Hoboken, New Jersey, USA;5. RT Solutions Inc. , 9 Channing Street, Cambridge, Massachusetts, USA;6. Department of Physics and Technology , University of Bergen , Norway |
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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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