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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ali, A. Amin, S.E. Ramadan, H.H. Tolba, M.F. |
| Copyright Year | 2011 |
| Description | Author affiliation: Scientific Computing Department, Faculty of Computer and Information Systems, Ain shams University, Cairo, Egypt (Ali, A.; Amin, S.E.; Ramadan, H.H.; Tolba, M.F.) |
| Abstract | Airborne sun photometer measurements are used to evaluate retrievals of extinction Aerosol Optical Depth (AOD). These data are extracted from spatially coincident and temporally near coincident measurements by the Ozone Monitoring Instrument (OMI) aboard the Aura satellite during 2005. OMI measured Top Of Atmosphere (TOA) reflectances are routinely inverted to yield aerosol products such as AOD using two different retrieval techniques: a near-Ultraviolet (UV) and a multi-wavelength technique. In this work, we study the application of the two AOD modeling techniques retrieved by OMI comparing to AOD captured at several locations containing sites of the Aerosol Robotic Network (AERONET). The comparison result shows that, just over Europe, OMI aerosol optical depths are better retrieved in the multi-wavelength retrieval than in the near UV. Correlations have been improved by applying a simple criterion to avoid scenes probably contaminated by thin clouds, and surface scattering. |
| Starting Page | 181 |
| Ending Page | 186 |
| File Size | 1881113 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457701276 |
| e-ISBN | 9781457701283 |
| DOI | 10.1109/ICCES.2011.6141038 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-29 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Aerosol optical depth modeling Atmospheric measurements Atmospheric modeling Land surface Aerosol Aerosols Optical variables measurement Size measurement OMI sun photometer measurements Optical reflection |
| Content Type | Text |
| Resource Type | Article |
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