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Error sources in the retrieval of aerosol information over bright surfaces from satellite measurements in the oxygen A band
- Source :
- Atmospheric Measurement Techniques, Vol 11, Pp 161-175 (2018)
- Publication Year :
- 2018
- Publisher :
- Copernicus Publications, 2018.
-
Abstract
- Retrieving aerosol optical thickness and aerosol layer height over a bright surface from measured top-of-atmosphere reflectance spectrum in the oxygen A band is known to be challenging, often resulting in large errors. In certain atmospheric conditions and viewing geometries, a loss of sensitivity to aerosol optical thickness has been reported in the literature. This loss of sensitivity has been attributed to a phenomenon known as critical surface albedo regime, which is a range of surface albedos for which the top-of-atmosphere reflectance has minimal sensitivity to aerosol optical thickness. This paper extends the concept of critical surface albedo for aerosol layer height retrievals in the oxygen A band, and discusses its implications. The underlying physics are introduced by analysing the top-of-atmosphere reflectance spectrum as a sum of atmospheric path contribution and surface contribution, obtained using a radiative transfer model. Furthermore, error analysis of an aerosol layer height retrieval algorithm is conducted over dark and bright surfaces to show the dependence on surface reflectance. The analysis shows that the derivative with respect to aerosol layer height of the atmospheric path contribution to the top-of-atmosphere reflectance is opposite in sign to that of the surface contribution – an increase in surface brightness results in a decrease in information content. In the case of aerosol optical thickness, these derivatives are anti-correlated, leading to large retrieval errors in high surface albedo regimes. The consequence of this anti-correlation is demonstrated with measured spectra in the oxygen A band from the GOME-2 instrument on board the Metop-A satellite over the 2010 Russian wildfires incident.
- Subjects :
- Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
Subjects
Details
- Language :
- English
- ISSN :
- 18671381, 18678548, and 43984746
- Volume :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Atmospheric Measurement Techniques
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bf1d4061fe6644bc84eb7d439847462c
- Document Type :
- article
- Full Text :
- https://doi.org/10.5194/amt-11-161-2018