气候变化领域集成服务门户(CCPortal): Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument

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DOI	10.1088/1748-9326/aba3a5
	Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument
	Cooper M.J.; Martin R.V.; McLinden C.A.; Brook J.R.
发表日期	2020
ISSN	17489318
卷号	15 期号:10
英文摘要	Satellite-based estimates of ground-level nitrogen dioxide (NO2) concentrations are useful for understanding links between air quality and health. A longstanding question has been why prior satellite-derived surface NO2 concentrations are biased low with respect to ground-based measurements. In this work we demonstrate that these biases are due to both the coarse resolution of previous satellite NO2 products and inaccuracies in vertical mixing assumptions used to convert satellite-observed tropospheric columns to surface concentrations. We develop an algorithm that now allows for different mixing assumptions to be used based on observed NO2 conditions. We then apply this algorithm to observations from the TROPOMI satellite instrument, which has been providing NO2 column observations at an unprecedented spatial resolution for over a year. This new product achieves estimates of ground-level NO2 with greater accuracy and higher resolution compared to previous satellite-based estimates from OMI. These comparisons also show that TROPOMI-inferred surface NO2 concentrations from our updated algorithm have higher correlation and lower bias than those found using TROPOMI and the prior algorithm. TROPOMI-inferred estimates of the population exposed to NO2 conditions exceeding health standards are at least three times higher than for OMI-inferred estimates. These developments provide an exciting opportunity for air quality monitoring. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	air quality; NO2; remote sensing; TROPOMI
语种	英语
scopus关键词	Air quality; Image resolution; Mixing; Satellites; Air quality monitoring; Ground based measurement; Higher resolution; Nitrogen dioxides; Satellite instruments; Spatial resolution; Surface concentration; Tropospheric columns; Nitrogen oxides; air quality; algorithm; concentration (composition); estimation method; nitrogen dioxide; spatial resolution; vertical mixing
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153675
作者单位	Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, United States; Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States; Environment and Climate Change Canada, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
推荐引用方式 GB/T 7714	Cooper M.J.,Martin R.V.,McLinden C.A.,et al. Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument[J],2020,15(10).
APA	Cooper M.J.,Martin R.V.,McLinden C.A.,&Brook J.R..(2020).Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument.Environmental Research Letters,15(10).
MLA	Cooper M.J.,et al."Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument".Environmental Research Letters 15.10(2020).