DOI: 10.1016/j.atmosenv.2014.03.038
Scopus记录号: 2-s2.0-84897830595
论文题名: Dust aerosol height estimation: A synergetic approach using passive remote sensing and modelling
作者: Sreekanth V
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 90 起始页码: 16
结束页码: 22
语种: 英语
英文关键词: Aerosol index
; Dust layer
; GOCART
; OMI
Scopus关键词: Atmospheric radiation
; Dust
; Storms
; Aerosol index
; Aerosol optical thickness
; Dust layer
; GOCART
; OMI
; Passive remote sensing
; Qualitative information
; Spatiotemporal variability
; Aerosols
; ozone
; aerosol
; altitude
; dust
; estimation method
; height determination
; numerical model
; radiative forcing
; regression analysis
; remote sensing
; spatiotemporal analysis
; absorption
; aerosol
; albedo
; altitude
; article
; atmosphere
; desert
; dust
; priority journal
; radiation
; radiative forcing
; remote sensing
; seasonal variation
; simulation
; summer
; winter
; Arabian Sea
; Indian Ocean
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, a simple methodology for deducing a proxy index inferring on the dust aerosol layer height (in the atmosphere) has been presented by exploiting the dependence of the relationship between Aerosol Index (AI) and aerosol optical thickness (AOT) on the aerosol altitude. For the purpose, OMI-AI and GOCART model simulated dust AOT values over northern Arabian Sea are used. Northern Arabian Sea has been chosen as the study grid due its frequent vulnerability to the Arabian dust storms. Temporal variations in the dust AOT and AI values over the study region are discussed. Linear regression to the scatter plots between the dust AOT and AI values revealed the qualitative information on the dust layer altitudes. Results indicated that dust aerosols over the study region attain their highest altitude during July, August months. CALIOP aerosol sub-type measurements are examined in order to support the results obtained. Expansion of the present technique on inferring the spatio-temporal variability in the aerosol altitude over dust storms prone regions can be highly advantageous in fine tuning the regional dust aerosol radiative forcing calculations. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80992
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Physics, CMR Institute of Technology, Bangalore 560 037, India
Recommended Citation:
Sreekanth V. Dust aerosol height estimation: A synergetic approach using passive remote sensing and modelling[J]. Atmospheric Environment,2014-01-01,90