DOI: 10.1016/j.atmosres.2017.09.004
Scopus记录号: 2-s2.0-85033559904
论文题名: Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula
作者: Hermida L. ; Merino A. ; Sánchez J.L. ; Fernández-González S. ; García-Ortega E. ; López L.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 199 起始页码: 29
结束页码: 39
语种: 英语
英文关键词: Arabian Peninsula
; Cluster analysis
; Dust outbreak
; Synoptic patterns
Scopus关键词: Arid regions
; Atmospheric aerosols
; Cluster analysis
; Fighter aircraft
; Meteorological problems
; Principal component analysis
; Radiometers
; Sea level
; Storms
; Arabian Peninsula
; Arid and semi-arid regions
; Atmospheric circulation patterns
; Dust outbreaks
; Hierarchical K-means clustering
; Meteosat second generations
; Moderate resolution imaging spectroradiometer datum
; Synoptic patterns
; Dust
; arid region
; atmospheric circulation
; cluster analysis
; dust
; dust storm
; Meteosat
; MODIS
; optical depth
; satellite imagery
; semiarid region
; spatial distribution
; synoptic meteorology
; weather forecasting
; Arabian Peninsula
英文摘要: Dust storms pose serious weather hazards in arid and semiarid regions of the earth. Understanding the main synoptic conditions that give rise to dust outbreaks is important for issuing forecasts and warnings to the public in cases of severe storms. The aim of the present study is to determine synoptic patterns that are associated with or even favor dust outbreaks over the Arabian Peninsula. In this respect, red–green–blue dust composite images from the Meteosat Second Generation (MSG) satellite are used to detect dust outbreaks affecting the Arabian Peninsula, with possible influences in southwestern Asia and northeastern Africa, between 2005 and 2013. The Meteosat imagery yielded a sample of 95 dust storm days. Meteorological fields from NCEP/NCAR reanalysis data of wind fields at 10 m and 250 hPa, mean sea level pressure, and geopotential heights at 850 and 500 hPa were obtained for the dust storm days. Using principal component analysis in T-mode and non-hierarchical k-means clustering, we obtained four major atmospheric circulation patterns associated with dust outbreaks during the study days. Cluster 4 had the largest number of days with dust events, which were constrained to summer, and cluster 3 had the fewest. In clusters 1, 2 and 3, the jet stream favored the entry of a low-pressure area or trough that varied in location between the three clusters. Their most northerly location was found in cluster 4, along with an extensive low-pressure area supporting strong winds over the Arabian Peninsula. The spatial distribution of aerosol optical depth for each cluster obtained was characterized using the Moderate Resolution Imaging Spectroradiometer data. Then, using METAR stations, clusters were also characterized in terms of frequency and visibility. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109035
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: Atmospheric Physics Group, IMA, University of León, León, Spain; Department of Earth Physics, Astronomy and Astrophysics II, Faculty of Physics, Complutense University of Madrid, Madrid, Spain
Recommended Citation:
Hermida L.,Merino A.,Sánchez J.L.,et al. Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula[J]. Atmospheric Research,2018-01-01,199