DOI: 10.1002/jgrd.50707
论文题名: Satellite-derived estimates of ultrafine particle concentrations over eastern North America
作者: Crippa P. ; Spracklen D. ; Pryor S.C.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 17 起始页码: 9968
结束页码: 9981
语种: 英语
英文关键词: GLOMAP
; nucleation
; satellite retrievals
; spatial variability
; ultrafine particles
Scopus关键词: Atmospheric aerosols
; Estimation
; Nucleation
; Rain
; Remote sensing
; Satellites
; Sulfur dioxide
; Sun
; GLOMAP
; New particle formation
; Remote sensing technology
; Satellite retrieval
; Spatial correlation coefficients
; Spatial variability
; Ultrafine particle
; Ultraviolet solar radiation
; Algorithms
; algorithm
; ammonia
; concentration (composition)
; estimation method
; instrumentation
; nucleation
; numerical model
; optical depth
; particulate matter
; remote sensing
; satellite imagery
; sulfur dioxide
; temporal variation
; North America
英文摘要: High concentrations of ultrafine particles (UFP, i.e., particles with diameter < 100 nm) impact both human health and Earth's climate. Recent innovations in remote sensing technologies and data retrievals offer the potential for predicting UFP concentrations based on data from satellite-borne instrumentation. Herein we present a physically based statistical algorithm to estimate UFP concentrations across eastern North America using remotely sensed aerosol optical depth, Ångstrom exponent, ultraviolet solar radiation flux, and ammonia and sulfur dioxide concentrations. The proposed algorithm is built and independently evaluated using an array of in situ observations. The algorithm is able to capture up to 60% of the variability in daily measured UFP number concentrations at a regionally representative reference site and is thus applied to generate seasonal UFP concentration estimates across eastern North America. The resulting UFP concentrations are cross-evaluated with simulations from a global aerosol microphysics model. There is a negative bias in the model output relative to the satellite-driven proxy, which is largest (up to 76%) in summer and may be due to overestimation of UFP from the satellite-based algorithm derived herein, due to the higher availability of remote sensing data in clear-sky conditions or uncertainty in the model simulation of new particle formation. Nevertheless, the model and algorithm indicate similar spatial and seasonal variability (spatial correlation coefficients of 0.10 to 0.56), indicating the value of the satellite-based UFP proxy in global and regional model evaluation exercises and in efforts to identify regions where future in situ data collection should be prioritized. Key Points Ultrafine particle concentrations (UFP) are estimated from satellite dataSatellite-based model evaluated with observations and a numerical modelNPF spatial scales and seasonality are quantified over eastern North America ©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/63347
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: Atmospheric Science Program, Department of Geological Sciences, Indiana University, Bloomington, IN 47405, United States; School of Earth and Environment, University of Leeds, Leeds, United Kingdom; Atmospheric Science Program, Department of Geological Sciences, Indiana University, Bloomington, IN, United States
Recommended Citation:
Crippa P.,Spracklen D.,Pryor S.C.. Satellite-derived estimates of ultrafine particle concentrations over eastern North America[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(17)