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Detailed Reference Information |
Jamet, C., Moulin, C. and Thiria, S. (2004). Monitoring aerosol optical properties over the Mediterranean from SeaWiFS images using a neural network inversion. Geophysical Research Letters 31: doi: 10.1029/2004GL019951. issn: 0094-8276. |
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The SeaWiFS archive provides a unique opportunity to study aerosol optical properties over oceans since October 1997. Standard SeaWiFS aerosol products are however not suitable because optical thicknesses are limited to 0.35 and Angstr¿m exponents to 1.5. We developed an inversion based on neural networks to retrieve both optical thickness and Angstr¿m exponent from SeaWiFS red and near infrared channels. Neural networks are capable of approximating non-linear inverse functions and of processing efficiently large amounts of data. Neural networks were trained with radiative transfer computations for wide ranges of optical thickness and Angstr¿m exponent. All SeaWiFS images of the Mediterranean for year 2000 were processed and monthly mean maps of aerosol optical thickness and Angstr¿m exponent were derived. A comparison with ground-based measurements at three AERONET stations in the Mediterranean shows the good accuracy of the method, as well as the improvement compared to operational SeaWiFS aerosol products. |
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Abstract |
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Keywords
Atmospheric Composition and Structure, Aerosols and particles (0345, 4801), Atmospheric Composition and Structure, Instruments and techniques, Oceanography, Biological and Chemical, Aerosols |
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Publisher
American Geophysical Union 2000 Florida Avenue N.W. Washington, D.C. 20009-1277 USA 1-202-462-6900 1-202-328-0566 service@agu.org |
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