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Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations

Authors :
J. Chimot
J. P. Veefkind
T. Vlemmix
P. F. Levelt
Source :
Atmospheric Measurement Techniques, Vol 11, Pp 2257-2277 (2018)
Publication Year :
2018
Publisher :
Copernicus Publications, 2018.

Abstract

A global picture of atmospheric aerosol vertical distribution with a high temporal resolution is of key importance not only for climate, cloud formation, and air quality research studies but also for correcting scattered radiation induced by aerosols in absorbing trace gas retrievals from passive satellite sensors. Aerosol layer height (ALH) was retrieved from the OMI 477 nm O2 − O2 band and its spatial pattern evaluated over selected cloud-free scenes. Such retrievals benefit from a synergy with MODIS data to provide complementary information on aerosols and cloudy pixels. We used a neural network approach previously trained and developed. Comparison with CALIOP aerosol level 2 products over urban and industrial pollution in eastern China shows consistent spatial patterns with an uncertainty in the range of 462–648 m. In addition, we show the possibility to determine the height of thick aerosol layers released by intensive biomass burning events in South America and Russia from OMI visible measurements. A Saharan dust outbreak over sea is finally discussed. Complementary detailed analyses show that the assumed aerosol properties in the forward modelling are the key factors affecting the accuracy of the results, together with potential cloud residuals in the observation pixels. Furthermore, we demonstrate that the physical meaning of the retrieved ALH scalar corresponds to the weighted average of the vertical aerosol extinction profile. These encouraging findings strongly suggest the potential of the OMI ALH product, and in more general the use of the 477 nm O2 − O2 band from present and future similar satellite sensors, for climate studies as well as for future aerosol correction in air quality trace gas retrievals.

Details

Language :
English
ISSN :
18671381 and 18678548
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Atmospheric Measurement Techniques
Publication Type :
Academic Journal
Accession number :
edsdoj.65983c22566a45298dc4d4d598f3b1e6
Document Type :
article
Full Text :
https://doi.org/10.5194/amt-11-2257-2018