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Titel |
Simulation of aerosol optical properties over a tropical urban site in India using a global model and its comparison with ground measurements |
VerfasserIn |
D. Goto, K. V. S. Badarinath, T. Takemura, T. Nakajima |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
0992-7689
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Digitales Dokument |
URL |
Erschienen |
In: Annales Geophysicae ; 29, no. 5 ; Nr. 29, no. 5 (2011-05-31), S.955-963 |
Datensatznummer |
250017029
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Publikation (Nr.) |
copernicus.org/angeo-29-955-2011.pdf |
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Zusammenfassung |
Aerosols have great impacts on atmospheric environment, human health, and
earth's climate. Therefore, information on their spatial and temporal
distribution is of paramount importance. Despite numerous studies have
examined the variation and trends of BC and AOD over India, only very few
have focused on their spatial distribution or even correlating the
observations with model simulations. In the present study, a
three-dimensional aerosol transport-radiation model coupled with a general
circulation model. SPRINTARS, simulated atmospheric aerosol distributions
including BC and aerosol optical properties, i.e., aerosol optical thickness
(AOT), Ångström Exponent (AE), and single scattering albedo (SSA).
The simulated results are compared with both BC measurements by aethalometer
and aerosol optical properties measured by ground-based skyradiometer and by
satellite sensor, MODIS/Terra over Hyderabad, which is a tropical urban area
of India, for the year 2008. The simulated AOT and AE in Hyderabad are found
to be comparable to ground-based measured ones. The simulated SSA tends to
be higher than the ground-based measurements. Both these comparisons of
aerosol optical properties between the simulations with different emission
inventories and the measurements indicate that, firstly the model
uncertainties derived from aerosol emission inventory cannot explain the
gaps between the simulations and the measurements and secondly the vertical
transport of BC and the treatment of BC-containing particles can be the main
issue in the global model to solve the gap. |
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