Publication Abstracts
Kim et al. 2024
Kim, D., M. Chin, G. Schuster, H. Yu, T. Takemura, P. Tuccella, P. Ginoux, X. Liu, Y. Shi, H. Matsui, , , J.F. Kok, and M. Schulz, 2024: Where dust comes from: Global assessment of dust source attributions with AeroCom models. J. Geophys. Res. Atmos., 129, no. 16, e2024JD041377, doi:10.1029/2024JD041377.
The source of dust in the global atmosphere is an important factor to better understand the role of dust aerosols in the climate system. However, it is a difficult task to attribute the airborne dust over the remote land and ocean regions to their origins since dust from various sources are mixed during long-range transport. Recently, a multi-model experiment, namely the AeroCom-III Dust Source Attribution (DUSA), has been conducted to estimate the relative contribution of dust in various locations from different sources with tagged simulations from seven participating global models. The BASE run and a series of runs with nine tagged regions were made to estimate the contribution of dust emitted in East- and West-Africa, Middle East, Central- and East-Asia, North America, the Southern Hemisphere, and the prominent dust hot spots of the Bodélé and Taklimakan Deserts. The models generally agree in large scale mean dust distributions, however models show large diversity in dust source attribution. The inter-model differences are significant with the global model dust diversity in 30%?50%, but the differences in regional and seasonal scales are even larger. The multi-model analysis estimates that North Africa contributes 60% of global atmospheric dust loading, followed by Middle East and Central Asia sources (24%). Southern hemispheric sources account for 10% of global dust loading, however it contributes more than 70% of dust over the Southern Hemisphere. The study provides quantitative estimates of the impact of dust emitted from different source regions on the globe and various receptor regions including remote land, ocean, and the polar regions synthesized from the seven models.
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BibTeX Citation
@article{ki05300j,
author={Kim, D. and Chin, M. and Schuster, G. and Yu, H. and Takemura, T. and Tuccella, P. and Ginoux, P. and Liu, X. and Shi, Y. and Matsui, H. and Tsigaridis, K. and Bauer, S. E. and Kok, J. F. and Schulz, M.},
title={Where dust comes from: Global assessment of dust source attributions with AeroCom models},
year={2024},
journal={Journal of Geophysical Research: Atmospheres},
volume={129},
number={16},
pages={e2024JD041377},
publisher={John Wiley & Sons, Ltd},
doi={10.1029/2024JD041377},
}
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RIS Citation
TY - JOUR ID - ki05300j AU - Kim, D. AU - Chin, M. AU - Schuster, G. AU - Yu, H. AU - Takemura, T. AU - Tuccella, P. AU - Ginoux, P. AU - Liu, X. AU - Shi, Y. AU - Matsui, H. AU - Tsigaridis, K. AU - Bauer, S. E. AU - Kok, J. F. AU - Schulz, M. PY - 2024 TI - Where dust comes from: Global assessment of dust source attributions with AeroCom models JA - J. Geophys. Res. Atmos. JO - Journal of Geophysical Research: Atmospheres VL - 129 IS - 16 SP - e2024JD041377 DO - 10.1029/2024JD041377 PB - John Wiley & Sons, Ltd ER -
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