气候变化领域集成服务门户(CCPortal): Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea

CCPortal

DOI	10.1016/j.atmosenv.2020.117904
	Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea
	Hur S.-K.; Ho C.-H.; Kim J.; Oh H.-R.; Koo Y.-S.
发表日期	2021
ISSN	1352-2310
卷号	244
英文摘要	For evaluating the performance of the Korean operational air quality model (Weather Research and Forecasting-Community Multiscale Air Quality), we compared the simulated concentrations of particulate matter with diameters ≤ 10 μm (PM10) against observations in Seoul, Korea for the cold seasons (October through March) of 2015–2018. The simulations yield about 70% hit rate for PM10 concentrations within 10 μg m−3 from the observations. For the 50–90 μg m−3 range, the simulations systematically overestimate the PM10 frequency mainly due to overestimation/underestimation of PM10 concentrations in the moderate-PM10 (30 < PM10 ≤ 60 μg m−3)/high-PM10 (60 < PM10 ≤ 100 μg m−3) range. Considering that the model simulates PM10 transports using input meteorological fields and emissions amounts, 72-h back-trajectories from Seoul (37.51°N, 126.99°E) at the 500 m above ground level are analyzed to investigate the cause of the systematic bias. The 410 days when PM10 concentrations are within the 30–100 μg m−3 range are grouped into three major wind flows: westerly (163 days), northerly (99 days), and northwesterly (148 days). Overestimations of moderate-PM10 days frequently occur for the westerly group associated with a synoptic pattern characterized by calm anticyclonic systems over China and Korea, especially when the emission amounts were overestimated in eastern China, the main PM10 source region for Seoul for the westerly group. Underestimations of high-PM10 days frequently occur for the northerly and northwesterly groups associated with climatological patterns or strong windy cyclonic systems along with some small inflow from underestimated emission in northeastern China. To improve the model performance, statistical models trained for each back-trajectory group along with improved estimations of emission amounts may prove helpful. © 2020 Elsevier Ltd
关键词	Air quality Korea PM10 WRF-CMAQ
语种	英语
scopus关键词	Air quality; Above ground level; Air quality modeling; Community multi-scale air qualities; Meteorological fields; Model performance; Particulate Matter; PM10 concentration; Weather research and forecasting; Weather forecasting; air quality; atmospheric pollution; back analysis; concentration (composition); particulate matter; pollutant transport; seasonality; weather forecasting; westerly; air quality; article; China; cold stress; forecasting; particulate matter 10; season; simulation; South Korea; statistical bias; weather; China; Seoul [South Korea]; South Korea
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/248804
作者单位	School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; National Institute of Meteorological Sciences, Seogwipo, South Korea; Department of Environmental and Energy Engineering, Anyang University, Anyang, South Korea
推荐引用方式 GB/T 7714	Hur S.-K.,Ho C.-H.,Kim J.,et al. Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea[J],2021,244.
APA	Hur S.-K.,Ho C.-H.,Kim J.,Oh H.-R.,&Koo Y.-S..(2021).Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea.ATMOSPHERIC ENVIRONMENT,244.
MLA	Hur S.-K.,et al."Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea".ATMOSPHERIC ENVIRONMENT 244(2021).