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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 10, 1539-1555, 2017
https://doi.org/10.5194/amt-10-1539-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
24 Apr 2017
Updated MISR dark water research aerosol retrieval algorithm – Part 1: Coupled 1.1 km ocean surface chlorophyll a retrievals with empirical calibration corrections
James A. Limbacher and Ralph A. Kahn
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of Limbacher and Kahn, 2016', Anonymous Referee #2, 06 Jan 2017 Printer-friendly Version 
AC2: 'Updated MISR Dark-Water Research Aerosol Retrieval Algorithm Part 1', Ralph Kahn, 14 Mar 2017 Printer-friendly Version Supplement 
 
RC2: 'Review', Alexei Lyapustin, 15 Feb 2017 Printer-friendly Version Supplement 
AC1: 'Updated MISR Dark-Water Research Aerosol Retrieval Algorithm Part 1', Ralph Kahn, 14 Mar 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (16 Mar 2017)  Author's response
ED: Publish as is (16 Mar 2017) by Alexander Kokhanovsky
CC BY 4.0
Publications Copernicus
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Short summary
Aerosol amount and type affect the “atmospheric correction” needed to derive ocean surface chlorophyll a concentration (Chl) from satellite remote sensing and, conversely, the ocean surface representation affects aerosol retrieval products. We introduce a coupled atmosphere-surface retrieval for Multi-angle Imaging SpectroRadiometer observations over dark water aimed at improving both aerosol and Chl results. We also refine the MISR calibration, critical to achieving high-quality retrievals.
Aerosol amount and type affect the “atmospheric correction” needed to derive ocean surface...
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