Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/amt-16-2067-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-2067-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 8
Research article
 | 
19 Apr 2023
Research article |  | 19 Apr 2023

The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color

Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Brian Cairns, Xiaoguang Xu, and J. Vanderlei Martins

Viewed

Total article views: 2,691 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,154 460 77 2,691 108 112
  • HTML: 2,154
  • PDF: 460
  • XML: 77
  • Total: 2,691
  • BibTeX: 108
  • EndNote: 112
Views and downloads (calculated since 08 Dec 2022)
Cumulative views and downloads (calculated since 08 Dec 2022)

Viewed (geographical distribution)

Total article views: 2,691 (including HTML, PDF, and XML) Thereof 2,590 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2025
Download
Short summary
Multi-angle polarimetric measurements have been shown to greatly improve the remote sensing capability of aerosols and help atmospheric correction for ocean color retrievals. However, the uncertainty correlations among different measurement angles have not been well characterized. In this work, we provided a practical framework to evaluate the impact of the angular uncertainty correlation in retrieval results and a method to directly estimate correlation strength from retrieval residuals.
Read more
Share