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| Titel |
Exploring the differences in cloud properties observed by the Terra and Aqua MODIS Sensors |
| VerfasserIn |
N. Meskhidze, L. A. Remer, S. Platnick, R. Negrón Juárez, A. M. Lichtenberger, A. R. Aiyyer |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 9, no. 10 ; Nr. 9, no. 10 (2009-05-29), S.3461-3475 |
| Datensatznummer |
250007314
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| Publikation (Nr.) |
 copernicus.org/acp-9-3461-2009.pdf |
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| Zusammenfassung |
| The aerosol-cloud interaction in different parts of the globe is examined
here using multi-year statistics of remotely sensed data from two MODIS
sensors aboard NASA's Terra (morning) and Aqua (afternoon) satellites. Simultaneous
retrievals of aerosol loadings and cloud properties by the MODIS sensor
allowed us to explore morning-to-afternoon variation of liquid cloud
fraction (CF) and optical thickness (COT) for clean, moderately polluted and
heavily polluted clouds in different seasons. Data analysis for seven-years
of MODIS retrievals revealed strong temporal and spatial patterns in
morning-to-afternoon variation of cloud fraction and optical thickness over
different parts of the global oceans and the land. For the vast areas of
stratocumulus cloud regions, the data shows that the days with elevated
aerosol abundance were also associated with enhanced afternoon reduction of
CF and COT pointing to the possible reduction of the indirect climate
forcing. A positive correlation between aerosol optical depth and
morning-to-afternoon variation of trade wind cumulus cloud cover was also
found over the northern Indian Ocean, though no clear relationship between
the concentration of Indo-Asian haze and morning-to-afternoon variation of
COT was established. Over the Amazon region during wet conditions, aerosols
are associated with an enhanced convective process in which morning shallow
warm clouds are organized into afternoon deep convection with greater ice
cloud coverage. Analysis presented here demonstrates that the new technique
for exploring morning-to-afternoon variability in cloud properties by using
the differences in data products from the two daily MODIS overpasses is
capable of capturing some of the major features of diurnal variations in
cloud properties and can be used for better understanding of aerosol
radiative effects. |
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