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DOI	10.5194/gmd-14-4249-2021
	Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)
	Meng, Jun; Martin, Randall, V; Ginoux, Paul; Hammer, Melanie; Sulprizio, Melissa P.; Ridley, David A.; van Donkelaar, Aaron
通讯作者	Meng, J (corresponding author), Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 4R2, Canada. ; Meng, J (corresponding author), Washington Univ, Dept Energy Environm & Chem Engn, St Louis, MO 63130 USA. ; Meng, J (corresponding author), Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, 520 Portola Plaza, Los Angeles, CA 90095 USA.
来源期刊	GEOSCIENTIFIC MODEL DEVELOPMENT
ISSN	1991-959X
EISSN	1991-9603
出版年	2021
卷号	14 期号:7 页码:4249-4260
英文摘要	The nonlinear dependence of the dust saltation process on wind speed poses a challenge for models of varying resolutions. This challenge is of particular relevance for the next generation of chemical transport models with nimble capability for multiple resolutions. We develop and apply a method to harmonize dust emissions across simulations of different resolutions by generating offline grid-independent dust emissions driven by native high-resolution meteorological fields. We implement into the GEOS-Chem chemical transport model a high-resolution dust source function to generate updated offline dust emissions. These updated offline dust emissions based on high-resolution meteorological fields strengthen dust emissions over relatively weak dust source regions, such as in southern South America, southern Africa and the southwestern United States. Identification of an appropriate dust emission strength is facilitated by the resolution independence of offline emissions. We find that the performance of simulated aerosol optical depth (AOD) versus measurements from the AERONET network and satellite remote sensing improves significantly when using the updated offline dust emissions with the total global annual dust emission strength of 2000 Tgyr(-1) rather than the standard online emissions in GEOS-Chem. The updated simulation also better represents in situ measurements from a global climatology. The offline high-resolution dust emissions are easily implemented in chemical transport models. The source code and global offline high-resolution dust emission inventory are publicly available.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000671800100003
WOS关键词	ORGANIC AEROSOL ; UNITED-STATES ; MINERAL DUST ; DESERT DUST ; CONSTRAINTS ; INSTRUMENT ; DEPOSITION ; OXIDATION ; NETWORK ; QUALITY
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
来源机构	University of California, Los Angeles
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363439
作者单位	[Meng, Jun; Martin, Randall, V; Hammer, Melanie; van Donkelaar, Aaron] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 4R2, Canada; [Meng, Jun; Martin, Randall, V; Hammer, Melanie; van Donkelaar, Aaron] Washington Univ, Dept Energy Environm & Chem Engn, St Louis, MO 63130 USA; [Martin, Randall, V] Harvard Smithsonian Ctr Astrophys, Smithsonian Astrophys Observ, Cambridge, MA 02138 USA; [Ginoux, Paul] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA; [Sulprizio, Melissa P.] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA; [Ridley, David A.] Calif Environm Protect Agcy, Sacramento, CA 95814 USA; [Meng, Jun] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, 520 Portola Plaza, Los Angeles, CA 90095 USA
推荐引用方式 GB/T 7714	Meng, Jun,Martin, Randall, V,Ginoux, Paul,et al. Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)[J]. University of California, Los Angeles,2021,14(7):4249-4260.
APA	Meng, Jun.,Martin, Randall, V.,Ginoux, Paul.,Hammer, Melanie.,Sulprizio, Melissa P..,...&van Donkelaar, Aaron.(2021).Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0).GEOSCIENTIFIC MODEL DEVELOPMENT,14(7),4249-4260.
MLA	Meng, Jun,et al."Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)".GEOSCIENTIFIC MODEL DEVELOPMENT 14.7(2021):4249-4260.