Estimating Errors in Satellite Retrievals of Bio-Optical Properties due to Incorrect Aerosol Model Selection

We examine the impact of incorrect atmospheric correction, specifically incorrect aerosol model selection, on retrieval of bio-optical properties from satellite ocean color imagery Uncertainties in retrievals of bio-optical properties (such as chlorophyll, absorption and backscattering coefficients)...

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Bibliographic Details
Main Authors: McCarthy, Sean C, Gould, Jr, Richard W, Richman, James, Kearney, Courtney, Lawson, Adam
Other Authors: NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV
Format: Text
Language:English
Published: 2011
Subjects:
Atmospheric Physics
*AEROSOLS
*ATMOSPHERICS
ARTIFICIAL SATELLITES
INFORMATION RETRIEVAL
SATELLITE IMAGERY
ATMOSPHERIC CORRECTION
PE0602435N
73-6467-01-5
Aerosol Robotic Network
Online Access:http://www.dtic.mil/docs/citations/ADA556083
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA556083
Description
Summary:We examine the impact of incorrect atmospheric correction, specifically incorrect aerosol model selection, on retrieval of bio-optical properties from satellite ocean color imagery Uncertainties in retrievals of bio-optical properties (such as chlorophyll, absorption and backscattering coefficients) from satellite ocean color imagery are related to a variety of factors, including errors associated with sensor calibration, atmospheric correction, and the bio-optical inversion algorithms In many cases, selection of an inappropriate or erroneous aerosol model during atmospheric correction can dominate the errors in the satellite estimation of the normalized water-leaving radiances ((n)L(w)), especially over turbid, coastal waters. These errors affect the downstream bio-optical properties Here, we focus on only the impact of incorrect aerosol model selection on the (n)L(w) radiance estimates, through comparisons between Moderate- Resolution Imaging Spectroradiometer (MODIS) satellite data and in situ measurements from AERONET-OC (Aerosol Robotic NETwork - Ocean Color) sampling platforms.

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