Stereoscopic Monitoring A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution

doi:10.1175/BAMS-D-20-0217.1

	Stereoscopic Monitoring A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution
	Liu, Cheng 1,2; Gao, Meng 3; Hu, Qihou 2; Brasseur, Guy P.4; Carmichael, Gregory R.5
刊名	BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
	2021-04-01
卷号	102
ISSN号	0003-0007
DOI	10.1175/BAMS-D-20-0217.1
通讯作者	Gao, Meng(mmgao2@hkbu.edu.hk)
英文摘要	Monitoring and modeling/predicting air pollution are crucial to understanding the links between emissions and air pollution levels, to supporting air quality management, and to reducing human exposure. Yet, current monitoring networks and modeling capabilities are unfortunately inadequate to understand the physical and chemical processes above ground and to support attribution of sources. We highlight the need for the development of an international stereoscopic monitoring strategy that can depict three-dimensional (3D) distribution of atmospheric composition to reduce the uncertainties and to advance diagnostic understanding and prediction of air pollution. There are three reasons for the implementation of stereoscopic monitoring: 1) current observation networks provide only partial view of air pollution, and this can lead to misleading air quality management actions; 2) satellite retrievals of air pollutants are widely used in air pollution studies, but too often users do not acknowledge that they have large uncertainties, which can be reduced with measurements of vertical profiles; and 3) air quality modeling and forecasting require 3D observational constraints. We call on researchers and policymakers to establish stereoscopic monitoring networks and share monitoring data to better characterize the formation of air pollution, optimize air quality management, and protect human health. Future directions for advancing monitoring and modeling/predicting air pollution are also discussed.
WOS关键词	ASIAN DUST ; CHINA ; AEROSOLS ; QUALITY ; LIDAR ; NO2 ; ASSIMILATION ; UNCERTAINTY ; RETRIEVALS ; ATMOSPHERE
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER METEOROLOGICAL SOC
WOS记录号	WOS:000651498500003
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/122656]
专题	中国科学院合肥物质科学研究院
通讯作者	Gao, Meng
作者单位	1.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei, Anhui, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei, Anhui, Peoples R China 3.Hong Kong Baptist Univ, Dept Geog, State Key Lab Environm & Biol Anal, Hong Kong, Peoples R China 4.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA 5.Univ Iowa, Dept Chem & Biochem Engn, Iowa City, IA 52242 USA
推荐引用方式 GB/T 7714	Liu, Cheng,Gao, Meng,Hu, Qihou,et al. Stereoscopic Monitoring A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution[J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY,2021,102.
APA	Liu, Cheng,Gao, Meng,Hu, Qihou,Brasseur, Guy P.,&Carmichael, Gregory R..(2021).Stereoscopic Monitoring A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution.BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY,102.
MLA	Liu, Cheng,et al."Stereoscopic Monitoring A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution".BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 102(2021).