HR: 17:30h
AN: OS24B-06    [Abstracts]
TI: A Bio-Optical Model Suitable for Use in Forward and Inverse Coupled Atmosphere-Ocean Radiative Transfer Models
AU: * Zhang, K
EM: kzhang@stevens-tech.edu
AF: Stevens Institute of Technology, Department of Physics and Engineering Physics, Light and Life Laboratory, Castle Point on the Hudson, Hoboken, NJ 07030 United States
AU: Li, W
EM: wli1@odin.mat.stevens-tech.edu
AF: Stevens Institute of Technology, Department of Physics and Engineering Physics, Light and Life Laboratory, Castle Point on the Hudson, Hoboken, NJ 07030 United States
AU: Eide, H
EM: heide@stevens-tech.edu
AF: Stevens Institute of Technology, Department of Physics and Engineering Physics, Light and Life Laboratory, Castle Point on the Hudson, Hoboken, NJ 07030 United States
AU: Stamnes, K
EM: kstamnes@stevens-tech.edu
AF: Stevens Institute of Technology, Department of Physics and Engineering Physics, Light and Life Laboratory, Castle Point on the Hudson, Hoboken, NJ 07030 United States
AU: Spurr, R
EM: rtsolutions@verizon.net
AF: RT Solutions Inc., 9 Channing Street, Cambridge, MA 02183 United States
AB: We have developed a simple, yet complete bio-optical model for the inherent optical properties (IOPs) of oceanic waters. This bio-optical model is specifically designed for use in comprehensive, multiple scattering radiative transfer models for the coupled atmosphere-ocean system. The advantage of this bio-optical model is that it can be employed to construct algorithms for simultaneous retrieval of aerosol optical properties and concentrations of oceanic water components. A retrieval algorithm was constructed by computing the remote sensing reflectance Rrs(λ) and validating it against simultaneous field measurements of Rrs(λ) and chlorophyll concentrations obtained from the SeaBASS data base. We present results from tests showing that the algorithm yields reliable retrieval results for a large range of chlorophyll concentrations. Similar tests of a MODIS/VIIRS chlorophyll retrieval algorithm show that its overall performance is less satisfactory. Based on the one-component bio-optical model, we have further developed a two-component bio-optical model, which includes phytoplankton and Chromophoric Dissolved Organic Matter (CDOM). This model enables simultaneous retrieval of chlorophyll concentration and the absorption coefficient for CDOM at 443 nm. We present results from a retrieval algorithm utilizing this two-component bio-optical model.
DE: 0758 Remote sensing
DE: 0933 Remote sensing
DE: 1640 Remote sensing (1855)
DE: 4275 Remote sensing and electromagnetic processes (0689, 2487, 3285, 4455, 6934)
DE: 4801 Aerosols (0305, 4906)
SC: Ocean Sciences [OS]
MN: Fall Meeting 2005