 |
| Titel |
Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective |
| VerfasserIn |
Z. Li, X. Zhao, R. Kahn, M. Mishchenko, L. Remer, K.-H. Lee, M. Wang, I. Laszlo, T. Nakajima, H. Maring |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
0992-7689
|
| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 27, no. 7 ; Nr. 27, no. 7 (2009-07-10), S.2755-2770 |
| Datensatznummer |
250016586
|
| Publikation (Nr.) |
 copernicus.org/angeo-27-2755-2009.pdf |
|
|
|
|
|
| Zusammenfassung |
| As a result of increasing attention paid to aerosols in climate studies,
numerous global satellite aerosol products have been generated. Aerosol
parameters and underlining physical processes are now incorporated in many
general circulation models (GCMs) in order to account for their direct and
indirect effects on the earth's climate, through their interactions with the
energy and water cycles. There exists, however, an outstanding problem that
these satellite products have substantial discrepancies, that must be
lowered substantially for narrowing the range of the estimates of aerosol's
climate effects. In this paper, numerous key uncertain factors in the
retrieval of aerosol optical depth (AOD) are articulated for some widely
used and relatively long satellite aerosol products including the AVHRR,
TOMS, MODIS, MISR, and SeaWiFS. We systematically review the algorithms
developed for these sensors in terms of four key elements that influence the
quality of passive satellite aerosol retrieval: calibration, cloud
screening, classification of aerosol types, and surface effects. To gain
further insights into these uncertain factors, the NOAA AVHRR data are
employed to conduct various tests, which help estimate the ranges of
uncertainties incurred by each of the factors. At the end, recommendations
are made to cope with these issues and to produce a consistent and unified
aerosol database of high quality for both environment monitoring and climate
studies. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|