DOI: 10.1002/jgrd.50515
论文题名: Constraints on aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data
作者: Xu X. ; Wang J. ; Henze D.K. ; Qu W. ; Kopacz M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6396
结束页码: 6413
语种: 英语
英文关键词: Aerosol source optimization
; Asian SO2, NO2, dust, black carbon, organic carbon
; MODIS, MISR, OMI
Scopus关键词: Atmospheric aerosols
; Atmospheric chemistry
; Dust
; Estimation
; Nitrogen compounds
; Nitrogen oxides
; Optimization
; Particulate emissions
; Reduction
; Satellite imagery
; Sulfur dioxide
; Aerosol source
; Black carbon
; Moderate resolution imaging spectroradiometer
; MODIS, MISR, OMI
; Multiangle imaging spectroradiometer
; Multisensor remote sensing
; Ozone monitoring instruments
; Temporal and spatial scale
; Radiometers
; aerosol
; air quality
; concentration (composition)
; dust
; estimation method
; MODIS
; remote sensing
; satellite imagery
; simulation
; spatiotemporal analysis
; China
英文摘要: We present a new top-down approach that spatially constrains the amount of aerosol emissions using satellite (Moderate Resolution Imaging Spectroradiometer (MODIS)) observed radiances with the adjoint of a chemistry transport model (GEOS-Chem). This paper aims to demonstrate the approach through applying it to a case study that yields the following emission estimates over China for April 2008: 1.73 Tg for SO2 , 0.72 Tg for NH3 , 1.38 Tg for NOx , 0.10 Tg for black carbon, and 0.18 Tg for organic carbon from anthropogenic sources, which reflects, respectively, a reduction of 33.5%, 34.5%, 18.8%, 9.1%, and 15% in comparison to the prior bottom-up inventories of INTEX-B 2006. The mineral dust emission from the online dust entrainment and mobilization module is reduced by 56.4% of 19.02 to 8.30 Tg. Compared to the prior simulation, the posterior simulation shows a much better agreement with the following independent measurements: aerosol optical depth (AOD) measured by AERONET sun-spectrophotometers and retrieved from Multi-angle Imaging SpectroRadiometer (MISR), atmospheric NO2 and SO2 columnar amount retrieved from Ozone Monitoring Instrument (OMI), and in situ data of sulfate-nitrate-ammonium and PM10 (particular matter with aerodynamic diameter less than 10 μm) mass concentrations over both anthropogenic pollution and dust source regions. Assuming the bottom-up (prior) anthropogenic emissions are the best estimates for their base year of 2006, the overwhelming reduction in the posterior (top-down) estimate indicates less emission in April 2008 especially for the SO2 tracer in the central and eastern parts of China, and/or an overestimation in the prior emission. The former is supported by the AOD change detected by MODIS and MISR sensors, while the latter is likely the case for NOx and NH3 emissions because no evidence shows that their atmospheric concentration has declined over China. With the promising results shown in this study, continuous efforts are needed toward a holistic and comprehensive inversion of emission using multisensor remote sensing data (of trace gases and aerosols) for constraining aerosol primary and precursor emissions at various temporal and spatial scales. Key Points Optimize speciated emission with MODIS radiance and adjoint model. Comprehensive evaluation with MISR aerosol and OMI NO2 and SO2 data. Case study shows that aerosol emission over China is reduced from 2006 to 2008. © 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/63616
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: Earth and Atmospheric Sciences, University of Nebraska Lincoln, Lincoln, NE, 68588, United States; Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States; Physical Oceanography Laboratory, Ocean University of China, Qingdao, China; NOAA Climate Program Office, Silver Spring, MD, United States
Recommended Citation:
Xu X.,Wang J.,Henze D.K.,et al. Constraints on aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)