气候变化领域集成服务门户(CCPortal): Inferring and evaluating satellite-based constraints on NOx emissionsestimates in air quality simulations

CCPortal

DOI	10.5194/acp-22-15981-2022
	Inferring and evaluating satellite-based constraints on NOx emissionsestimates in air quality simulations
	East, James D.; Henderson, Barron H.; Napelenok, Sergey L.; Koplitz, Shannon N.; Sarwar, Golam; Gilliam, Robert; Lenzen, Allen; Tong, Daniel Q.; Pierce, R. Bradley; Garcia-Menendez, Fernando
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	15981
结束页码	16001
卷号	22 期号:24 页码:21
英文摘要	Satellite observations of tropospheric NO2 columns can provide top-down observational constraints on emissions estimates of nitrogen oxides (NOx). Mass-balance-based methods are often applied for this purpose but do not isolate near-surface emissions from those aloft, such as lightning emissions. Here, we introduce an inverse modeling framework that couples satellite chemical data assimilation to a chemical transport model. In the framework, satellite-constrained emissions totals are inferred using model simulations with and without data assimilation in the iterative finite-difference mass-balance method. The approach improves the finite-difference mass-balance inversion by isolating the near-surface emissions increment. We apply the framework to separately estimate lightning and anthropogenic NOx emissions over the Northern Hemisphere for 2019. Using overlapping observations from the Ozone Monitoring Instrument (OMI) and the Tropospheric Monitoring Instrument (TROPOMI), we compare separate NOx emissions inferences from these satellite instruments, as well as the impacts of emissions changes on modeled NO2 and O-3. OMI inferences of anthropogenic emissions consistently lead to larger emissions than TROPOMI inferences, attributed to a low bias in TROPOMI NO2 retrievals. Updated lightning NOx emissions from either satellite improve the chemical transport model's low tropospheric O-3 bias. The combined lighting and anthropogenic emissions updates improve the model's ability to reproduce measured ozone by adjusting natural, long-range, and local pollution contributions. Thus, the framework informs and supports the design of domestic and international control strategies.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000900993000001
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/273482
作者单位	North Carolina State University; Oak Ridge Associated Universities; United States Department of Energy (DOE); Oak Ridge Institute for Science & Education; United States Environmental Protection Agency; United States Environmental Protection Agency; University of Wisconsin System; University of Wisconsin Madison; George Mason University
推荐引用方式 GB/T 7714	East, James D.,Henderson, Barron H.,Napelenok, Sergey L.,et al. Inferring and evaluating satellite-based constraints on NOx emissionsestimates in air quality simulations[J],2022,22(24):21.
APA	East, James D..,Henderson, Barron H..,Napelenok, Sergey L..,Koplitz, Shannon N..,Sarwar, Golam.,...&Garcia-Menendez, Fernando.(2022).Inferring and evaluating satellite-based constraints on NOx emissionsestimates in air quality simulations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(24),21.
MLA	East, James D.,et al."Inferring and evaluating satellite-based constraints on NOx emissionsestimates in air quality simulations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.24(2022):21.