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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 7
Atmos. Meas. Tech., 9, 3031–3052, 2016
https://doi.org/10.5194/amt-9-3031-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Ten years of Ozone Monitoring Instrument (OMI) observations...

Atmos. Meas. Tech., 9, 3031–3052, 2016
https://doi.org/10.5194/amt-9-3031-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Jul 2016

Research article | 14 Jul 2016

The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean

Santiago Gassó and Omar Torres
Data sets

CALIOP data NASA Langley Research Center Atmospheric Science Data Center https://eosweb.larc.nasa.gov/

OMI data NASA Goddard Earth Sciences Data and Information Services Center https://doi.org/10.5067/Aura/OMI/DATA3003

Aqua/MODIS Atmosphere L2 Aerosol Product (MYD04) Level-1 & Atmosphere Archive and Distribution System (LAADS) Distributed Active Archive Center (DAAC) https://doi.org/10.5067/MODIS/MYD04_L2.006

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Short summary
Aerosol optical depths derived by the OMI near-UV algorithm are evaluated against independent observations over the ocean. The comparison resulted in differences within the expected levels of uncertainty. In addition, in clear sky conditions, the retrieved AODs compare well with independent measurements but they are biased high in partially cloud-contaminated pixels. Additional sources of discrepancies are documented and will be corrected in future versions of the algorithm.
Aerosol optical depths derived by the OMI near-UV algorithm are evaluated against independent...
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