Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-783-2017
https://doi.org/10.5194/amt-10-783-2017
Research article
 | 
08 Mar 2017
Research article |  | 08 Mar 2017

An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach

Julien Chimot, J. Pepijn Veefkind, Tim Vlemmix, Johan F. de Haan, Vassilis Amiridis, Emmanouil Proestakis, Eleni Marinou, and Pieternel F. Levelt

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AR by Julien Chimot on behalf of the Authors (07 Feb 2017)  Author's response   Manuscript 
ED: Publish as is (13 Feb 2017) by Alexander Kokhanovsky
AR by Julien Chimot on behalf of the Authors (21 Feb 2017)  Manuscript 
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Short summary
We have developed artificial neural network algorithms to retrieve aerosol layer height from satellite OMI observations of the 477 nm O2–O2 spectral band. Based on 3-year (2005–2007) cloud-free scenes over north-east Asia, the results show uncertainties of 260–800 m when aerosol optical thickness is larger than 1. These algorithms also enable aerosol optical thickness retrievals by exploring the OMI continuum reflectance. These results may be used for future trace gas retrievals from TROPOMI.