气候变化领域集成服务门户(CCPortal): Towards a regional dust modeling system in the central Middle East: Evaluation; uncertainties and recommendations

CCPortal

DOI	10.1016/j.atmosenv.2020.118160
	Towards a regional dust modeling system in the central Middle East: Evaluation; uncertainties and recommendations
	Kontos S.; Kakosimos K.; Liora N.; Poupkou A.; Melas D.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	This study aims towards an accurate regional dust modeling system in the central Middle East area (CME), through the implementation of the state-of-art dust parameterizations. The modeling system consists of the natural emission model NEMO, the meteorological model WRF and the chemistry transport model CAMx. An extensive evaluation of 16 different configurations has been realized, incorporating all the combinations of the components utilized in the state-of-art dust modeling approaches, namely the drag partition, the sandblasting efficiency, the horizontal mass flux, as well two commonly used soil particle size distributions. Daily mean PM10 measurements in Doha, as well the satellite AOD products of MODIS have been used for the quantitative and the qualitative assessment of the simulations. Noteworthy, each of these assessments did not yield to the exact same ranking of the configurations (e.g. best five) but they assisted on identifying clear patterns. For example, a consistent overestimation of the daily mean PM10, when the MacKinnon's drag partition scheme is utilized, was found. On the other hand, the assessments led to best three performing configurations, with common components the Raupach's drag partition scheme and Alfaro and Gomes sandblasting efficiency. Although their overall performance is good, several issues were found i.e. on individual dust events and a mean underestimation during the studied period, ranging from −49 to −75 μg/m3. One cause of this underestimation could be the aerodynamic entrainment, a mechanism usually neglected from the dust modeling approaches. Another cause could be missed regional and/or local sources or underestimation of their emission rates. © 2020 Elsevier Ltd
英文关键词	Drag; Dust; Efficiency; Horizontal wells; Particle size; Petroleum reservoir evaluation; Chemistry transport model; Drag partition; Emission rates; Local source; Meteorological modeling; Model system; Natural emissions; Qualitative assessments; Uncertainty analysis; assessment method; dust; efficiency measurement; measurement method; modeling; MODIS; performance assessment; pollutant source; simulation; uncertainty analysis; air pollution; Article; comprehensive air quality model with extensions; concentration (parameter); correlation coefficient; dry deposition; dust and dust related phenomena; evaluation study; intermethod comparison; measurement accuracy; meteorology; model; natural emission model; particle size; particle size distribution; particulate matter 10; priority journal; Qatar; qualitative analysis; quantitative analysis; satellite imagery; simulation; soil; uncertainty; weather research and forecasting model; Doha; Qatar; Alfaro
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169045
作者单位	Aristotle University of Thessaloniki, Department of Physics, Laboratory of Atmospheric Physics, Thessaloniki, 54124, Greece; Texas A&M University at Qatar, Department of Chemical Engineering, PO Box 23874, Doha, Qatar
推荐引用方式 GB/T 7714	Kontos S.,Kakosimos K.,Liora N.,et al. Towards a regional dust modeling system in the central Middle East: Evaluation; uncertainties and recommendations[J],2021,246.
APA	Kontos S.,Kakosimos K.,Liora N.,Poupkou A.,&Melas D..(2021).Towards a regional dust modeling system in the central Middle East: Evaluation; uncertainties and recommendations.Atmospheric Environment,246.
MLA	Kontos S.,et al."Towards a regional dust modeling system in the central Middle East: Evaluation; uncertainties and recommendations".Atmospheric Environment 246(2021).