DOI: 10.1002/jgrd.50166
论文题名: Constraining U.S. ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model
作者: Zhu L. ; Henze D.K. ; Cady-Pereira K.E. ; Shephard M.W. ; Luo M. ; Pinder R.W. ; Bash J.O. ; Jeong G.-R.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 8 起始页码: 3355
结束页码: 3368
语种: 英语
英文关键词: Ammonia
; Data assimilation
; Emissions
; Inverse modeling
; Remote sensing
Scopus关键词: Aerosols
; Ammonia
; Biodiversity
; Eutrophication
; Gas emissions
; Inverse problems
; Nitrates
; Particulate emissions
; Remote sensing
; Surface measurement
; Ammonia emissions
; Constrained simulations
; Data assimilation
; Diurnal variability
; Horizontal resolution
; Inverse modeling
; Nitric acid formation
; Satellite instruments
; Computer simulation
; acidification
; adjoint method
; ammonia
; data assimilation
; EOS
; eutrophication
; inverse analysis
; nitrate
; remote sensing
; spatiotemporal analysis
; California
; United States
英文摘要: Ammonia (NH3 ) has significant impacts on biodiversity, eutrophication, and acidification. Widespread uncertainty in the magnitude and seasonality of NH3 emissions hinders efforts to address these issues. In this work, we constrain U.S. NH3 sources using observations from the TES satellite instrument with the GEOS-Chem model and its adjoint. The inversion framework is first validated using simulated observations. We then assimilate TES observations for April, July, and October of 2006 through 2009. The adjoint-based inversion allows emissions to be adjusted heterogeneously; they are found to increase in California throughout the year, increase in different regions of the West depending upon season, and exhibit smaller increases and occasional decreases in the Eastern U.S. Evaluations of the inversion using independent surface measurements show reduced model underestimates of surface NH3 and wet deposited NHx in April and October; however, the constrained simulation in July leads to overestimates of these quantities, while TES observations are still under predicted. Modeled sulfate and nitrate aerosols concentrations do not change significantly, and persistent nitrate overestimation is noted, consistent with previous studies. Overall, while satellite-based constraints on NH3 emissions improve model simulations in several aspects, additional assessment at higher horizontal resolution of spatial sampling bias, nitric acid formation, and diurnal variability and bi-directionality of NH3 sources may be necessary to enhance year-round model performance across the full range of gas and aerosol evaluations. ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63795
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Mechanical Engineering, University of Colorado, Boulder CO, United States; Atmospheric and Environmental Research, Inc., Lexington MA, United States; Atmospheric and Climate Application, Inc., East Gwillimbury ON, Canada; Environment Canada, Toronto ON, Canada; Jet Propulsion Laboratory, California Institute of Technology, Pasadena CA, United States; US Environmental Protection Agency, Research Triangle Park NC, United States
Recommended Citation:
Zhu L.,Henze D.K.,Cady-Pereira K.E.,et al. Constraining U.S. ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(8)