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| Titel |
Data assimilation of CALIPSO aerosol observations |
| VerfasserIn |
T. T. Sekiyama, T. Y. Tanaka, A. Shimizu, T. Miyoshi |
| 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 ; 10, no. 1 ; Nr. 10, no. 1 (2010-01-05), S.39-49 |
| Datensatznummer |
250007889
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| Publikation (Nr.) |
 copernicus.org/acp-10-39-2010.pdf |
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| Zusammenfassung |
| We have developed an advanced data assimilation system for a global aerosol
model with a four-dimensional ensemble Kalman filter in which the Level 1B
data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite
Observations (CALIPSO) were successfully assimilated for the first time, to
the best of the authors' knowledge. A one-month data assimilation cycle
experiment for dust, sulfate, and sea-salt aerosols was performed in
May 2007. The results were validated via two independent observations: 1) the
ground-based lidar network in East Asia, managed by the National Institute
for Environmental Studies of Japan, and 2) weather reports of aeolian dust
events in Japan. Detailed four-dimensional structures of aerosol outflows
from source regions over oceans and continents for various particle types and
sizes were well reproduced. The intensity of dust emission at each grid point
was also corrected by this data assimilation system. These results are
valuable for the comprehensive analysis of aerosol behavior as well as
aerosol forecasting. |
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