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DOI	10.5194/acp-23-8623-2023
	Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
	Ageitos, Maria Goncalves; Obiso, Vincenzo; Miller, Ron L.; Jorba, Oriol; Klose, Martina; Dawson, Matt; Balkanski, Yves; Perlwitz, Jan; Basart, Sara; Di Tomaso, Enza; Escribano, Jeronimo; Macchia, Francesca; Montane, Gilbert; Mahowald, Natalie M.; Green, Robert O.; Thompson, David R.; Garcia-Pando, Carlos Perez
通讯作者	Ageitos, MG
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN	1680-7316
EISSN	1680-7324
出版年	2023
卷号	23 期号:15 页码:8623-8657
英文摘要	Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The influence of dust on these processes depends on its physicochemical properties, which, far from being homogeneous, are shaped by its regionally varying mineral composition. The relative amount of minerals in dust depends on the source region and shows a large geographical variability. However, many state-of-the-art Earth system models (ESMs), upon which climate analyses and projections rely, still consider dust mineralogy to be invariant. The explicit representation of minerals in ESMs is more hindered by our limited knowledge of the global soil composition along with the resulting size-resolved airborne mineralogy than by computational constraints. In this work we introduce an explicit mineralogy representation within the state-of-the-art Multiscale Online Nonhydrostatic AtmospheRe CHemistry (MONARCH) model. We review and compare two existing soil mineralogy datasets, which remain a source of uncertainty for dust mineralogy modeling and provide an evaluation of multiannual simulations against available mineralogy observations. Soil mineralogy datasets are based on measurements performed after wet sieving, which breaks the aggregates found in the parent soil. Our model predicts the emitted particle size distribution (PSD) in terms of its constituent minerals based on brittle fragmentation theory (BFT), which reconstructs the emitted mineral aggregates destroyed by wet sieving. Our simulations broadly reproduce the most abundant mineral fractions independently of the soil composition data used. Feldspars and calcite are highly sensitive to the soil mineralogy map, mainly due to the different assumptions made in each soil dataset to extrapolate a handful of soil measurements to arid and semi-arid regions worldwide. For the least abundant or more difficult-to-determine minerals, such as iron oxides, uncertainties in soil mineralogy yield differences in annual mean aerosol mass fractions of up to similar to 100 %. Although BFT restores coarse aggregates including phyllosilicates that usually break during soil analysis, we still identify an overestimation of coarse quartz mass fractions (above 2 mu m in diameter). In a dedicated experiment, we estimate the fraction of dust with undetermined composition as given by a soil map, which makes up similar to 10% of the emitted dust mass at the global scale and can be regionally larger. Changes in the underlying soil mineralogy impact our estimates of climate-relevant variables, particularly affecting the regional variability of the single-scattering albedo at solar wavelengths or the total iron deposited over oceans. All in all, this assessment represents a baseline for future model experiments including new mineralogical maps constrained by high-quality spaceborne hyperspectral measurements, such as those arising from the NASA Earth Surface Mineral Dust Source Investigation (EMIT) mission.
类型	Article
语种	英语
开放获取类型	Green Submitted, gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001042838800001
WOS关键词	CONVECTIVE ADJUSTMENT SCHEME ; COMPLEX REFRACTIVE-INDEXES ; DISSOLVED IRON DEPOSITION ; INTERMEDIATE-COMPLEXITY ; CHEMICAL-COMPOSITION ; COMBUSTION AEROSOLS ; DATA ASSIMILATION ; SIZE DISTRIBUTION ; SOURCE REGIONS ; GLOBAL SCALES
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395491
推荐引用方式 GB/T 7714	Ageitos, Maria Goncalves,Obiso, Vincenzo,Miller, Ron L.,et al. Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts[J],2023,23(15):8623-8657.
APA	Ageitos, Maria Goncalves.,Obiso, Vincenzo.,Miller, Ron L..,Jorba, Oriol.,Klose, Martina.,...&Garcia-Pando, Carlos Perez.(2023).Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(15),8623-8657.
MLA	Ageitos, Maria Goncalves,et al."Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.15(2023):8623-8657.