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| Titel |
The impact of land cover generated by a dynamic vegetation model on climate over east Asia in present and possible future climate |
| VerfasserIn |
M.-H. Cho, K.-O. Boo, G. M. Martin, J. Lee, G.-H. Lim |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2190-4979
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| Digitales Dokument |
URL |
| Erschienen |
In: Earth System Dynamics ; 6, no. 1 ; Nr. 6, no. 1 (2015-04-07), S.147-160 |
| Datensatznummer |
250115417
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| Publikation (Nr.) |
 copernicus.org/esd-6-147-2015.pdf |
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| Zusammenfassung |
| This study investigates the impacts of land cover change, as simulated by a
dynamic vegetation model, on the summertime climatology over Asia. The
climate model used in this study has systematic biases of underestimated
rainfall around Korea and overestimation over the South China Sea. When
coupled to a dynamic vegetation model, the resulting change in land cover is
accompanied by an additional direct radiative effect over dust-producing
regions. Both the change in land surface conditions directly and the effect
of increased bare-soil fraction on dust loading affect the climate in the
region and are examined separately in this study. The direct radiative
effect of the additional dust contributes to increasing the rainfall biases,
while the land surface physical processes are related to local temperature
biases such as warm biases over North China. In time slice runs for future
climate, as the dust loading changes, anomalous anticyclonic flows are
simulated over South China Sea, resulting in reduced rainfall over the South
China Sea and more rainfall near Korea and south China. In contrast with the
rainfall changes, the influence of land cover change and the associated dust
radiative effects are very small for a future projection of temperature, which
is dominated by atmospheric CO2 increase. The results in this study
suggest that the land cover simulated by a dynamic vegetation model can
affect, and be affected by, model systematic biases on regional scales over
dust emission source regions such as Asia. In particular, the analysis of the
radiative effects of dust changes associated with land cover change is
important in order to understand future changes in regional precipitation in
global warming. |
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