Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land

Lipponen, Antti; Mielonen, Tero; Pitkänen, Mikko R. A.; Levy, Robert C.; Sawyer, Virginia R.; Romakkaniemi, Sami; Kolehmainen, Ville; Arola, Antti

doi:https://doi.org/10.5194/amt-11-1529-2018

Articles | Volume 11, issue 3

https://doi.org/10.5194/amt-11-1529-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-1529-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 3

Research article

|

19 Mar 2018

Research article |

| 19 Mar 2018

Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land

Antti Lipponen, Tero Mielonen, Mikko R. A. Pitkänen, Robert C. Levy, Virginia R. Sawyer, Sami Romakkaniemi, Ville Kolehmainen, and Antti Arola

Supplement

https://doi.org/10.5194/amt-11-1529-2018-supplement

Model code and software

Bayesian Aerosol Retrieval algorithm for MODIS aerosol retrieval over land, version 1.0 A. Lipponen https://doi.org/10.5281/zenodo.1182939

Short summary

Atmospheric aerosols are small solid or liquid particles suspended in the atmosphere and they have a significant effect on the climate. Satellite data are used to get global estimates of atmospheric aerosols. In this work, a statistics-based Bayesian aerosol retrieval algorithm was developed to improve the accuracy and quantify the uncertainties related to the aerosol estimates. The algorithm is tested with NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data.