DOI: 10.1016/j.atmosenv.2015.09.077
Scopus记录号: 2-s2.0-84944447104
论文题名: Influences of extinction coefficient profile on the estimation of Slant Visual Range
作者: Sun X ; , Zhou Y ; , Zhang R ; , Zhou J ; , Li H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 122 起始页码: 484
结束页码: 492
语种: 英语
英文关键词: Accurate estimation method
; Blind estimation method
; Extinction coefficient profile
; SBDART
; Slant visual range
Scopus关键词: Aerosols
; Blind equalization
; Boundary element method
; Dust
; Errors
; Mean square error
; Optical properties
; Radiative transfer
; Accurate estimation
; Blind estimations
; Extinction coefficients
; SBDART
; Visual range
; Optical radar
; accuracy assessment
; aerosol
; albedo
; asymmetry
; CALIPSO
; dust
; error analysis
; estimation method
; Gaussian method
; lidar
; optical property
; radiative transfer
; sand
; scattering
; spatiotemporal analysis
; statistical analysis
; threshold
; vertical distribution
; visual analysis
; accurate estimation method
; aerosol
; Article
; blind estimation method
; constants and coefficients
; data processing
; extinction coefficient profile
; falling
; mathematical and statistical procedures
; mathematical parameters
; maximum allowable relative error
; measurement error
; priority journal
; slant visual range
; spring
; summer
; winter
; China
; Taklimakan Desert
; Xinjiang Uygur
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: Slant Visual Range (SVR) is defined as the distance at which the contrast of a given object with respect to its background is just equal to the contrast threshold of an observer in slant direction. In this study, estimation methods and errors of SVR are explored in lidar-free circumstances where Extinction Coefficient Profile (ECP), vertical distribution of Single Scattering Albedo (SSA) and asymmetry parameter (ASY) cannot be acquired. Statistical characteristics of aerosol optical properties in the Taklimakan Basin for sand-dust weather are derived from the CALIPSO daytime aerosol product from 2011 to 2014. SSA and ASY are approximated as 0.92 and 0.7 because aerosol types are mainly dust and polluted dust throughout layers. Besides, ECP can be categorized into exponential, Gaussian and other patterns. Based on whether the determination of real ECP into one of the three patterns is feasible, two SVR estimation methods are introduced and termed the accurate estimation method (AEM) and the blind estimation method (BEM), both methods are performed using SBDART radiative transfer model. For the AEM, analysis of estimated SVR and real SVR reveals a minimum linear correlation coefficient of 0.98 and a maximum root mean square error of 0.07, and the hit rate (R) of SVR estimation increases from 86% to nearly 100% when the maximum allowable relative error (MARE) increases from 10% to 25%. Validation of the BEM shows that R varies from 78% to 100% for MARE of 25% and falls drastically with the decrease of MARE, with the highest R value in spring and summer for the Gaussian pattern and the lowest values in fall and winter for exponential and other patterns. This study is among the first to explore the feasibility and methodology of deriving SVR in lidar-free circumstances. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81359
Appears in Collections: 气候变化事实与影响
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作者单位: College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, China
Recommended Citation:
Sun X,, Zhou Y,, Zhang R,et al. Influences of extinction coefficient profile on the estimation of Slant Visual Range[J]. Atmospheric Environment,2015-01-01,122