DOI: 10.1016/j.atmosenv.2016.11.052
Scopus记录号: 2-s2.0-84999666576
论文题名: Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment
作者: Bibi S ; , Alam K ; , Chishtie F ; , Bibi H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 150 起始页码: 126
结束页码: 135
语种: 英语
英文关键词: AAE
; Absorbing aerosol
; AE
; AI
; FMF
; SSA
Scopus关键词: Artificial intelligence
; Carbon
; Dust
; Image reconstruction
; Optical properties
; Optical radar
; Radiometers
; Satellite imagery
; Satellites
; Ultraviolet spectrometers
; Absorbing aerosol
; Aerosol robotic networks
; Cloud-aerosol lidar and infrared pathfinder satellite observations
; Moderate resolution imaging spectroradiometer
; Optical properties of aerosols
; Ozone monitoring instruments
; Satellite based observations
; Single scattering albedo
; Aerosols
; black carbon
; ozone
; absorption coefficient
; AERONET
; aerosol property
; black carbon
; CALIPSO
; ground-based measurement
; MODIS
; optical depth
; ozone
; satellite data
; seasonal variation
; spatiotemporal analysis
; urban ecosystem
; absorption
; aerosol
; Article
; dust
; Pakistan
; priority journal
; satellite imagery
; seasonal variation
; summer
; urban area
; winter
; Karachi
; Pakistan
; Sind
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In this paper, for the first time, an effort has been made to seasonally characterize the absorbing aerosols into different types using ground and satellite based observations. For this purpose, optical properties of aerosol retrieved from AErosol RObotic NETwork (AERONET) and Ozone Monitoring Instrument (OMI) were utilized over Karachi for the period 2012 to 2014. Firstly, OMI AODabs was validated with AERONET AODabs and found to have a high degree of correlation. Then, based on this validation, characterization was conducted by analyzing aerosol Fine Mode Fraction (FMF), Angstrom Exponent (AE), Absorption Angstrom Exponent (AAE), Single Scattering Albedo (SSA) and Aerosol Index (AI) and their mutual correlation, to identify the absorbing aerosol types and also to examine the variability in seasonal distribution. The absorbing aerosols were characterized into Mostly Black Carbon (BC), Mostly Dust and Mixed BC & Dust. The results revealed that Mostly BC aerosols contributed dominantly during winter and postmonsoon whereas, Mostly Dust were dominant during summer and premonsoon. These types of absorbing aerosol were also confirmed with MODerate resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82249
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Physics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan; Theoretical Research Institute, Pakistan Academy of Sciences, Islamabad, Pakistan
Recommended Citation:
Bibi S,, Alam K,, Chishtie F,et al. Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment[J]. Atmospheric Environment,2017-01-01,150