气候变化领域集成服务门户(CCPortal): High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model

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DOI	10.5194/acp-21-2067-2021
	High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model
	Chen Y.; Shen H.; Kaiser J.; Hu Y.; Capps S.L.; Zhao S.; Hakami A.; Shih J.-S.; Pavur G.K.; Turner M.D.; Henze D.K.; Resler J.; Nenes A.; Napelenok S.L.; Bash J.O.; Fahey K.M.; Carmichael G.R.; Chai T.; Clarisse L.; Coheur P.-F.; Van Damme M.; Russell A.G.
发表日期	2021
ISSN	1680-7316
起始页码	2067
结束页码	2082
卷号	21 期号:3
英文摘要	Ammonia (NH3/emissions have large impacts on air quality and nitrogen deposition, influencing human health and the well-being of sensitive ecosystems. Large uncertainties exist in the "bottom-up"NH3 emission inventories due to limited source information and a historical lack of measurements, hindering the assessment of NH3-related environmental impacts. The increasing capability of satellites to measure NH3 abundance and the development of modeling tools enable us to better constrain NH3 emission estimates at high spatial resolution. In this study, we constrain the NH3 emission estimates from the widely used 2011 National Emissions Inventory (2011 NEI) in the US using Infrared Atmospheric Sounding Interferometer NH3 column density measurements (IASI-NH3) gridded at a 36 km by 36 km horizontal resolution. With a hybrid inverse modeling approach, we use the Community Multiscale Air Quality Modeling System (CMAQ) and its multiphase adjoint model to optimize NH3 emission estimates in April, July, and October. Our optimized emission estimates suggest that the total NH3 emissions are biased low by 26 % in 2011 NEI in April with overestimation in the Midwest and underestimation in the Southern States. In July and October, the estimates from NEI agree well with the optimized emission estimates, despite a low bias in hotspot regions. Evaluation of the inversion performance using independent observations shows reduced underestimation in simulated ambient NH3 concentra tion in all 3 months and reduced underestimation in NHC 4 wet deposition in April. Implementing the optimized NH3 emission estimates improves the model performance in simulating PM2:5 concentration in the Midwest in April. The model results suggest that the estimated contribution of ammonium nitrate would be biased high in a priori NEI-based assessments. The higher emission estimates in this study also imply a higher ecological impact of nitrogen deposition originating from NH3 emissions. © 2021 Author(s).
英文关键词	Satellites
语种	英语
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/168763
作者单位	School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States; Department of Civil Architectural, and Environmental Engineering, Drexel University, Philadelphia, PA 19104, United States; Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON K1S5B6, Canada; Resources for the Future, Washington, DC 20036, United States; Saic, Stennis Space CenterMS 39529, United States; Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, United States; Institute of Computer Science, Czech Academy of Sciences, Prague, 182 07, Czech Republic; Institute for Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, 26504, Greece; School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland; Atmospheric and Envi...
推荐引用方式 GB/T 7714	Chen Y.,Shen H.,Kaiser J.,et al. High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model[J],2021,21(3).
APA	Chen Y..,Shen H..,Kaiser J..,Hu Y..,Capps S.L..,...&Russell A.G..(2021).High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model.Atmospheric Chemistry and Physics,21(3).
MLA	Chen Y.,et al."High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model".Atmospheric Chemistry and Physics 21.3(2021).