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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (12 Jun 2018) by Julia Uitz
AR by Eurico D'Sa on behalf of the Authors (26 Jun 2018)  Author's response    Manuscript
ED: Publish as is (26 Jun 2018) by Julia Uitz
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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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