DOI: 10.1016/j.atmosres.2017.09.003
Scopus记录号: 2-s2.0-85033583296
论文题名: Simulation and analysis of synoptic scale dust storms over the Arabian Peninsula
作者: Beegum S.N. ; Gherboudj I. ; Chaouch N. ; Temimi M. ; Ghedira H.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 199 起始页码: 62
结束页码: 81
语种: 英语
英文关键词: Air quality index
; AOD
; Chemistry transport modeling
; CHIMERE
; Dust storm
Scopus关键词: Aerosols
; Air quality
; Atmospheric aerosols
; Deposition
; Meteorology
; Optical properties
; Remote sensing
; Spatial distribution
; Storms
; Supercomputers
; Ultraviolet spectrometers
; Visibility
; Weather forecasting
; Air quality indices
; Arid and semi-arid regions
; Chemistry transport model
; CHIMERE
; Dust storm
; Ozone monitoring instruments
; Spatiotemporal distributions
; Weather Research and Forecast models
; Dust
; aerosol
; air quality
; arid region
; computer simulation
; dust storm
; numerical model
; optical depth
; semiarid region
; synoptic meteorology
; weather forecasting
; Arabian Peninsula
英文摘要: Dust storms are among the most severe environmental problems in arid and semi-arid regions of the world. The predictability of seven dust events, viz. D1: April 2–4, 2014; D2: February 23–24, 2015; D3: April 1–3, 2015; D4: March 26–28, 2016; D5: August 3–5, 2016; D6: March 13–14, 2017 and D7:March 19–21, 2017, are investigated over the Arabian Peninsula using a regionally adapted chemistry transport model CHIMERE coupled with the Weather Research and Forecast (WRF) model. The hourly forecast products of particulate matter concentrations (PM10) and aerosol optical depths (AOD) are compared against both satellite-based (MSG/SEVRI RGB dust, MODIS Deep Blue Aerosol Optical Depth: DB-AOD, Ozone Monitoring Instrument observed UV Aerosol Absorption Index: OMI-AI) and ground-based (AERONET AOD) remote sensing products. The spatial pattern and the time series of the simulations show good agreement with the observations in terms of the dust intensity as well as the spatiotemporal distribution. The causative mechanisms of these dust events are identified by the concurrent analyses of the meteorological data. From these seven storms, five are associated with synoptic scale meteorological processes, such as prefrontal storms (D1 and D7), postfrontal storms of short (D2), and long (D3) duration types, and a summer shamal storm (D6). However, the storms D4 and D6 are partly associated with mesoscale convective type dust episodes known as haboobs. The socio-economic impacts of the dust events have been assessed by estimating the horizontal visibility, air quality index (AQI), and the dust deposition flux (DDF) from the forecasted dust concentrations. During the extreme dust events, the horizontal visibility drops to near-zero values co-occurred withhazardous levels of AQI and extremely high dust deposition flux (250 μg cm− 2 day− 1). © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109027
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Research Center for Renewable Energy Mapping and Assessment (ReCREMA), Masdar Institute, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
Recommended Citation:
Beegum S.N.,Gherboudj I.,Chaouch N.,et al. Simulation and analysis of synoptic scale dust storms over the Arabian Peninsula[J]. Atmospheric Research,2018-01-01,199