Articles | Volume 10, issue 3
Atmos. Meas. Tech., 10, 783–809, 2017
https://doi.org/10.5194/amt-10-783-2017
Atmos. Meas. Tech., 10, 783–809, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
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
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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.