Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.09.004 |
Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula | |
Hermida, L.1; Merino, A.1; Sanchez, J. L.1; Fernandez-Gonzalez, S.2; Garcia-Ortega, E.1; Lopez, L.1 | |
2018 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 199页码:29-39 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain |
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. |
英文关键词 | Arabian Peninsula Dust outbreak Cluster analysis Synoptic patterns |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000415908300003 |
WOS关键词 | ATMOSPHERIC CIRCULATION PATTERNS ; MSG-SEVIRI DATA ; MIDDLE-EAST ; SAUDI-ARABIA ; SOUTHWESTERN EUROPE ; MEDITERRANEAN AREA ; DAILY RAINFALL ; SISTAN REGION ; RED-SEA ; STORMS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38210 |
专题 | 地球科学 |
作者单位 | 1.Univ Leon, IMA, Atmospher Phys Grp, Leon, Spain; 2.Univ Complutense Madrid, Fac Phys, Dept Earth Phys Astron & Astrophys 2, Madrid, Spain |
推荐引用方式 GB/T 7714 | Hermida, L.,Merino, A.,Sanchez, J. L.,et al. Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula[J]. ATMOSPHERIC RESEARCH,2018,199:29-39. |
APA | Hermida, L.,Merino, A.,Sanchez, J. L.,Fernandez-Gonzalez, S.,Garcia-Ortega, E.,&Lopez, L..(2018).Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula.ATMOSPHERIC RESEARCH,199,29-39. |
MLA | Hermida, L.,et al."Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula".ATMOSPHERIC RESEARCH 199(2018):29-39. |
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