气候变化领域集成服务门户(CCPortal): Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes

CCPortal

DOI	10.1016/j.atmosenv.2019.117181
	Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes
	Li X.; Seth A.; Zhang C.; Feng R.; Long X.; Li W.; Liu K.
发表日期	2020
ISSN	1352-2310
卷号	222
英文摘要	Fine particulate matter (PM2.5, with aerodynamic diameters < 2.5 μm) pollution is one of the most pervasive air quality problems facing the world. Reliable air quality modeling of PM2.5 is essential to future air quality projection, which serves as a critical source of information for policy-making. Although various evaluation methods have been suggested to assess the capability of air quality models in reproducing PM2.5, most of studies were focused on the mean behaviors of air quality models, with little emphasis on extreme conditions, which may be more crucial for human health and climate change. To address this need, we proposed an evaluation framework in this study to characterize both mean and extreme conditions of PM2.5 and applied it to the WRF-CMAQ simulations over contiguous United States for the period of 2001–2010. Results from statistical, spatiotemporal, and extreme quantile evaluation methods show consistent good performance of the model in the Eastern U.S. However, PM2.5 mean variations and extreme trends in the western U.S. are not well represented by the model attributable to the existence of complex terrains and active fire activities. In addition, the magnitude of decreasing trends for extreme events is smaller than that for the mean PM2.5. Strong correspondence is found between PM2.5 extremes and meteorological extremes that are associated with a stagnant condition. More extreme PM2.5 pollution episodes are expected in a warming climate, with rural regions and the western U.S. suffering the most. Our results highlight the urgency for proper forest management and joint-control of air quality and carbon emissions in order to combat extreme air pollution events in the future. © 2019 Elsevier Ltd
关键词	Extreme quantile analysis Fine particulate matter Model performance WRF-CMAQ
语种	英语
scopus关键词	Air pollution control; Air quality; Climate change; Climate models; Particles (particulate matter); Petroleum reservoir evaluation; Quality assurance; Aerodynamic diameters; Air quality modeling; Evaluation framework; Extreme quantiles; Fine particulate matter; Meteorological extremes; Model performance; WRF-CMAQ; Quality control; air quality; atmospheric chemistry; atmospheric pollution; climate change; correlation; extreme event; forest management; performance assessment; policy making; prediction; public health; spatiotemporal analysis; air pollution; air quality; air temperature; bootstrapping; carbon footprint; climate change; controlled study; correlational study; forecasting; forest management; human; particulate matter; priority journal; seasonal variation; secondary organic aerosol; spatiotemporal analysis; United States; wind speed; United States
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/249463
作者单位	Department of Geography, University of Connecticut, Storrs, CT 06269, United States; Department of Geosciences, University of Connecticut, Storrs, CT 06269, United States; School of Environment Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, 100101, China
推荐引用方式 GB/T 7714	Li X.,Seth A.,Zhang C.,et al. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes[J],2020,222.
APA	Li X..,Seth A..,Zhang C..,Feng R..,Long X..,...&Liu K..(2020).Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes.ATMOSPHERIC ENVIRONMENT,222.
MLA	Li X.,et al."Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes".ATMOSPHERIC ENVIRONMENT 222(2020).