Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 23
Articles | Volume 16, issue 23
https://doi.org/10.5194/amt-16-5749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-5749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 23
Research article
 | 
01 Dec 2023
Research article |  | 01 Dec 2023

Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals

Neranga K. Hannadige, Peng-Wang Zhai, Meng Gao, Yongxiang Hu, P. Jeremy Werdell, Kirk Knobelspiesse, and Brian Cairns

Viewed

Total article views: 2,132 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,623 432 77 2,132 105 117
  • HTML: 1,623
  • PDF: 432
  • XML: 77
  • Total: 2,132
  • BibTeX: 105
  • EndNote: 117
Views and downloads (calculated since 25 Jul 2023)
Cumulative views and downloads (calculated since 25 Jul 2023)

Viewed (geographical distribution)

Total article views: 2,132 (including HTML, PDF, and XML) Thereof 1,965 with geography defined and 167 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2025
Download
Short summary
We evaluated the impact of three ocean optical models with different numbers of free parameters on the performance of an aerosol and ocean color remote sensing algorithm using the multi-angle polarimeter (MAP) measurements. It was demonstrated that the three- and seven-parameter bio-optical models can be used to accurately represent both open and coastal waters, whereas the one-parameter model has smaller retrieval uncertainty over open water.
Read more
Share