An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV  observations

Jeong, U.; Kim, J.; Ahn, C.; Torres, O.; Liu, X.; Bhartia, P. K.; Spurr, R. J. D.; Haffner, D.; Chance, K.; Holben, B. N.

doi:10.5194/acp-16-177-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/acp-16-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Meso-scale aerosol processes, comparison and validation studies...

https://doi.org/10.5194/acp-16-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 1

Research article

|

18 Jan 2016

Research article |

| 18 Jan 2016

An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations

U. Jeong, J. Kim, C. Ahn, O. Torres, X. Liu, P. K. Bhartia, R. J. D. Spurr, D. Haffner, K. Chance, and B. N. Holben

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Latest update: 02 Dec 2025

Short summary

An aerosol retrieval and error analysis algorithm using OMI measurements based on an optimal-estimation method was developed in this study. The aerosol retrievals were validated using the DRAGON campaign products. The estimated errors of the retrievals represented the actual biases between retrieval and AERONET measurements well. The retrievals, with their estimated uncertainties, are expected to be valuable for relevant studies, such as trace gas retrieval and data assimilation.