Articles | Volume 10, issue 11
https://doi.org/10.5194/amt-10-4079-2017
https://doi.org/10.5194/amt-10-4079-2017
Research article
 | 
01 Nov 2017
Research article |  | 01 Nov 2017

Aerosol-type retrieval and uncertainty quantification from OMI data

Anu Kauppi, Pekka Kolmonen, Marko Laine, and Johanna Tamminen

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Latest update: 03 Nov 2024
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Short summary
The paper focuses on the aerosol microphysical model selection and characterisation of uncertainty in the retrieved aerosol type and aerosol optical depth (AOD). The proposed method is based on Bayesian inference approach and can account for the model error and also include the model selection uncertainty in the total uncertainty budget. The method is applied to OMI measurements but is also applicable to other instruments. The retrieval was evaluated by comparison with ground-based measurements.