DOI: 10.1016/j.atmosenv.2017.08.010
Scopus记录号: 2-s2.0-85029161247
论文题名: WRF prediction of two winter season Saharan dust events using PM10 concentrations: Boundary versus initial conditions
作者: Jenkins G ; S ; , Diokhane A ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 167 起始页码: 129
结束页码: 142
语种: 英语
英文关键词: Boundary
; Dust
; Hindcast
; Initial
; Sahara
; WRF
Scopus关键词: Aerosols
; Air quality
; Atmospheric aerosols
; Chemical analysis
; Dust
; Forecasting
; Aerosol optical depths
; Boundary
; Hindcasts
; Initial
; National center for environmental predictions
; Northern Hemispheres
; Sahara
; Weather research and forecasting models
; Weather forecasting
; aerosol
; aerosol property
; air quality
; boundary condition
; climate prediction
; concentration (composition)
; dust
; hindcasting
; NOAA satellite
; optical depth
; particulate matter
; satellite imagery
; weather forecasting
; winter
; air quality
; Algeria
; Article
; Cape Verde
; dust
; forecasting
; Gambia
; hypobarism
; Mali
; Mauritania
; measurement
; particulate matter
; prediction
; priority journal
; research
; respiratory tract disease
; Senegal
; troposphere
; weather
; wind
; winter
; Dakar [Senegal]
; Sahara
; Senegal
; West Africa
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: During the northern hemisphere winter and spring seasons Saharan dust events overspreading West Africa are frequent and linked to mid-latitude interactions. The dust events have the ability to produce low visibilities, poor air quality and can promote respiratory disease. While a number of case studies have been undertaken, the ability to forecast Saharan dust events is largely unknown. To investigate this matter, we have performed hindcasts using the weather research and forecasting (WRF) model with the Goddard Chemistry Aerosols Radiation Transport (GOCART) module, with 6-h boundary conditions from the NOAA ' National Center for Environmental Prediction (NCEP) final analysis (FNL). We use observed and forecasted PM10 concentrations to evaluate the hindcasts. The hindcasts begin with different conditions 3–8 days before two Saharan dust events where the maximum Particulate matter at 10 microns (PM10) concentrations are observed on 20 January and 7 February 2012 in Dakar, Senegal. The results show that all hindcasts are able to capture the timing of the peak on 20 January but the maximum peak during the second dust event occurs one day prior to the observed peak on 7 February with similar pattern from satellite based aerosol optical depth (AOD) estimates. The hindcasts have positive biases in PM10 concentrations relative to the observations in Dakar Senegal. The hindcasts suggest that WRF model has the potential to effectively forecasts Saharan dust events in real-time forecasts, however, they must be evaluated against additional surface PM10 observations at varying locations, which are currently sparse over West Africa. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82306
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Meteorology and Atmospheric Sciences, Penn State University, University Park, PA, United States; Centre de Gestion de la Qualité de l'Air – (CGQA), Direction de l'Environnement et des Etablissements Classés (DEEC), Dakar, Senegal; Alliance for Education, Science, Engineering and Development in Africa (AESEDA), South Africa
Recommended Citation:
Jenkins G,S,, Diokhane A,et al. WRF prediction of two winter season Saharan dust events using PM10 concentrations: Boundary versus initial conditions[J]. Atmospheric Environment,2017-01-01,167