DOI: 10.1029/2012JD018294
论文题名: Global all-sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and gocart simulations
作者: Su W. ; Loeb N.G. ; Schuster G.L. ; Chin M. ; Rose F.G.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 2 起始页码: 655
结束页码: 669
语种: 英语
Scopus关键词: Atmospheric aerosols
; Atmospheric radiation
; Radiometers
; Satellite imagery
; Solar radiation
; Aerosol direct radiative forcing
; Aerosol optical depths
; Anthropogenic contribution
; Direct radiative forcing
; Moderate resolution imaging spectroradiometer
; Satellite measurements
; Single-scattering albedo
; Top of the atmospheres
; Computer simulation
; aerosol
; anthropogenic source
; atmospheric pollution
; MODIS
; numerical model
; radiative forcing
; satellite imagery
; shortwave radiation
英文摘要: Estimation of aerosol direct radiative forcing (DRF) from satellite measurements is challenging because current satellite sensors do not have the capability of discriminating between anthropogenic and natural aerosols. We combine 3-hourly cloud properties from satellite retrievals with two aerosol data sets to calculate the all-sky aerosol direct radiative effect (DRE), which is the mean radiative perturbation due to the presence of both natural and anthropogenic aerosols. The first aerosol data set is based upon Moderate Resolution Imaging Spectroradiometer (MODIS) and Model for Atmospheric Transport and Chemistry (MATCH) assimilationmodel and is largely constrained byMODIS aerosol optical depth, but it does not distinguish between anthropogenic and natural aerosols. The other aerosol data set is based upon the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model, which does not assimilate aerosol observations but predicts the anthropogenic and natural components of aerosols. Thus, we can calculate the aerosol DRF using GOCART classifications of anthropogenic and natural aerosols and the ratio of DRF to DRE. We then apply this ratio to DRE calculated using MODIS/MATCH aerosols to partition it into DRF (MODIS/MATCH DRF) by assuming that the anthropogenic fractions from GOCART are representative. The global (60°N∼60°S) mean all-skyMODIS/MATCHDRF is-0.51Wm-2 at the top of the atmosphere (TOA), 2.51Wm-2 within the atmosphere, and-3.02Wm-2 at the surface. The GOCART all-sky DRF is -0.17Wm-2 at the TOA, 2.02Wm-2 within the atmosphere, and -2.19Wm-2 at the surface. The differences between MODIS/MATCH DRF and GOCART DRF are solely due to the differences in aerosol properties, since both computations use the same cloud properties and surface albedo and the same proportion of anthropogenic contributions to aerosol DRE. Aerosol optical depths simulated by the GOCART model are smaller than those in MODIS/MATCH, and aerosols in the GOCART model are more absorbing than those in MODIS/MATCH. Large difference in all-sky TOA DRF from these two aerosol data sets highlights the complexity in determining the all-sky DRF, since the presence of clouds amplifies the sensitivities of DRF to aerosol singlescattering albedo and aerosol vertical distribution. © 2012. American Geophysical Union. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64008
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: NASA Langley Research Center, MS 420, Hampton, VA 23681, United States; Goddard Space and Flight Center, Greenbelt, MD, United States; Science Systems and Applications Inc., Hampton, VA, United States
Recommended Citation:
Su W.,Loeb N.G.,Schuster G.L.,et al. Global all-sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and gocart simulations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(2)