Articles | Volume 15, issue 13
https://doi.org/10.5194/bg-15-4065-2018
https://doi.org/10.5194/bg-15-4065-2018
Research article
 | 
04 Jul 2018
Research article |  | 04 Jul 2018

An estuarine-tuned quasi-analytical algorithm (QAA-V): assessment and application to satellite estimates of SPM in Galveston Bay following Hurricane Harvey

Ishan D. Joshi and Eurico J. D'Sa

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Latest update: 20 Nov 2024
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Short summary
The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
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