气候变化领域集成服务门户(CCPortal): The potential for geostationary remote sensing of NO2 to improve weather prediction

CCPortal

DOI	10.5194/acp-21-9573-2021
	The potential for geostationary remote sensing of NO2 to improve weather prediction
	Liu X.; Mizzi A.P.; Anderson J.L.; Fung I.; Cohen R.C.
发表日期	2021
ISSN	1680-7316
起始页码	9573
结束页码	9583
卷号	21 期号:12
英文摘要	Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as plumes whose location is affected by boundary layer winds and whose lifetime is affected by boundary layer height and mixing. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer. © 2021 Xueling Liu et al.
语种	英语
scopus关键词	air quality; boundary layer; data assimilation; geostationary satellite; nitrogen dioxide; remote sensing; urban atmosphere; weather forecasting
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246785
作者单位	Department of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA, United States; Atmospheric Chemistry Observation and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Institute for Mathematics Applied to Geosciences, National Center for Atmospheric Research, Boulder, CO, United States; Department of Chemistry, University of California at Berkeley, Berkeley, CA, United States; Visiting Scientist At: National Center for Atmospheric Research, Atmospheric Chemistry Observation and Modeling Laboratory, Boulder, CO, United States; NASA Ames Research Center, Moffett Field, CA 94035, United States
推荐引用方式 GB/T 7714	Liu X.,Mizzi A.P.,Anderson J.L.,et al. The potential for geostationary remote sensing of NO2 to improve weather prediction[J],2021,21(12).
APA	Liu X.,Mizzi A.P.,Anderson J.L.,Fung I.,&Cohen R.C..(2021).The potential for geostationary remote sensing of NO2 to improve weather prediction.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(12).
MLA	Liu X.,et al."The potential for geostationary remote sensing of NO2 to improve weather prediction".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.12(2021).