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| Titel |
A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment |
| VerfasserIn |
Y. Shi, J. Zhang, J. S. Reid, E. J. Hyer, T. F. Eck, B. N. Holben, R. A. Kahn |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 12 ; Nr. 4, no. 12 (2011-12-22), S.2823-2836 |
| Datensatznummer |
250002156
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| Publikation (Nr.) |
 copernicus.org/amt-4-2823-2011.pdf |
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| Zusammenfassung |
| AErosol RObotic NETwork (AERONET) data are the primary benchmark for
evaluating satellite-retrieved aerosol properties. However, despite its
extensive coverage, the representativeness of the AERONET data is rarely
discussed. Indeed, many studies have shown that satellite retrieval biases
have a significant degree of spatial correlation that may be problematic for
higher-level processes or inverse-emissions-modeling studies. To consider
these issues and evaluate relative performance in regions of few surface
observations, cross-comparisons between the Aerosol Optical Depth (AOD)
products of operational MODIS Collection 5.1 Dark Target (DT) and
operational MODIS Collection 5.1 Deep Blue (DB) with MISR version 22 were
conducted. Through such comparisons, we can observe coherent spatial
features of the AOD bias while sidestepping the full analysis required for
determining when or where either retrieval is more correct. We identify regions where MODIS to
MISR AOD ratios were found to be above 1.4 and below 0.7. Regions where lower boundary condition uncertainty is likely to be a
dominant factor include portions of Western North America, the Andes
mountains, Saharan Africa, the Arabian Peninsula, and Central Asia.
Similarly, microphysical biases may be an issue in South America, and
specific parts of Southern Africa, India Asia, East Asia, and Indonesia.
These results help identify high-priority locations for possible future
deployments of both in situ and ground based remote sensing measurements.
The Supplement includes a kml file. |
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