气候变化领域集成服务门户(CCPortal): Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China

CCPortal

DOI	10.1029/2020JD033538
	Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China
	Hu X.-M.; Hu J.; Gao L.; Cai C.; Jiang Y.; Xue M.; Zhao T.; Crowell S.M.R.
发表日期	2021
ISSN	2169897X
卷号	126 期号:10
英文摘要	Given the limitations in pollutant measurements (e.g., coverage, observation errors) and air quality model uncertainties (e.g., with parameterizations and emissions), a multisensor and multimodel approach offers additional benefits compared to a single-instrument and deterministic approach for monitoring, investigating, and predicting air pollution events. In this study, we use multisensors (including the spaceborne MODIS, OCO-2, AIRS, and OMPS instruments as well as surface instruments) and multimodels (including WRF-Chem and WRF-CO2) to investigate a severe air pollution event on December 9, 2016 over eastern China. During this episode, a strong cold front moved southward. At the leading edge of the front, WRF-CO2 simulates an enhanced XCO2 belt while WRF-Chem simulates a belt of high PM2.5 concentration. The XCO2 and PM2.5 belts are generally colocated, due to coemission of CO2 and pollutants (or their precursors). Satellite observations including MODIS AOD, OCO-2 XCO2, OMPS NO2, AIRS CO, and surface data confirm the simulated pollution and XCO2 belts. Later on, the front became distorted due to terrain blocking and mountain channel flows. Both observations and simulations show that the channel winds between Mountains Dabie and Huang transport the haze plume into Jiangxi province, enhancing pollution in the region. It is concluded that the multisensor (including space-based and ground-based instruments) and multimodel (e.g., WRF-CO2, WRF-Chem) approach can be used to collectively monitor and investigate air pollution events, given that emissions of the involved species have generally similar spatial distributions. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	air quality; haze pollution; multimodel; multisensor; WRF-VPRM; WRF/Chem
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185196
作者单位	Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK, United States; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China; School of Meteorology, University of Oklahoma, Norman, OK, United States; Department of Occupational and Environmental Health, University of Oklahoma Health Sciences Center, University of Oklahoma, Oklahoma City, OK, United States; Zhejiang Lin'an Atmospheric Background National Observation and Research Station, Hangzhou, China; GeoCarb Mission, University of Oklahoma, Norman, OK, United States
推荐引用方式 GB/T 7714	Hu X.-M.,Hu J.,Gao L.,et al. Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China[J],2021,126(10).
APA	Hu X.-M..,Hu J..,Gao L..,Cai C..,Jiang Y..,...&Crowell S.M.R..(2021).Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China.Journal of Geophysical Research: Atmospheres,126(10).
MLA	Hu X.-M.,et al."Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China".Journal of Geophysical Research: Atmospheres 126.10(2021).