干旱区生态环境知识资源中心(Arid): Automatic identification and classification of the northern part of the Red Sea trough and its application for climatological analysis

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DOI	10.1002/joc.6416
	Automatic identification and classification of the northern part of the Red Sea trough and its application for climatological analysis
	Saaroni, Hadas 1; Harpaz, Tzvi 1,2; Alpert, Pinhas 3; Ziv, Baruch 2
通讯作者	Saaroni, Hadas
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN	0899-8418
EISSN	1097-0088
出版年	2020
卷号	40 期号:7 页码:3607-3622
英文摘要	The Red Sea trough (RST) is a low-pressure trough extending from south towards the Levant. Unlike previous synoptic classifications covering all systems that affect the region, our algorithm focuses on the RST alone. It uses sea-level pressure (SLP) and relative geostrophic vorticity for identifying the existence of an RST and classifying it to one of three types, according to the location of the trough axis with respect to 35 degrees E longitude. The following conditions were imposed to assure the existence of an RST: (a) north to south SLP drop across the Levant, (b) average positive sea-level relative vorticity over the region of interest, (c) existence of a distinct and continuous trough axis from the south towards the region of interest and (d) absence of any pronounced closed cyclone near the Levant. The algorithm was applied on the NCEP/NCAR reanalysis, 2.5 degrees x 2.5 degrees resolution and the ERA-Interim, 2.5 degrees x 2.5 degrees and 0.75 degrees x 0.75 degrees resolutions. An evaluation of the algorithm against subjective identification, based on the NCEP reanalysis, showed an agreement of 93% for RST identification and 79% for correct classification. The use of fine resolution data may insert noise that reduce the identification rate of RSTs but improves the axis locating. The autumn is the main season of RST, with a maximum in November and a consistent decrease towards the July minimum. The annual frequency varies among the data sources between 17.6 and 24.6%. The trough axis is shown to have a diurnal oscillation; towards the eastern coast of the Mediterranean at nighttime and eastward, inland, at noontime. No consistent long-term trend was found for the period 1979-2016, during which the global warming was persistent. This automated algorithm is flexible in the sense that it is not confined to any predetermined spatial resolution and is applicable to operational forecast model as well as to climate model outputs.
英文关键词	automatic identification diurnal variation Levant Red Sea trough synoptic classification trough axis
类型	Article
语种	英语
国家	Israel
收录类别	SCI-E
WOS记录号	WOS:000502473500001
WOS关键词	DAILY SYNOPTIC SYSTEMS ; REANALYSIS ; CYCLONE ; LEVANT ; DESERT ; FLOODS ; DUST
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
EI主题词	2019-12-14
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311725
作者单位	1.Tel Aviv Univ, Porter Sch Environm & Earth Sci, Dept Geog & Human Environm, Tel Aviv, Israel; 2.Open Univ Israel, Dept Nat Sci, Raanana, Israel; 3.Tel Aviv Univ, Porter Sch Environm & Earth Sci, Dept Geophys, Tel Aviv, Israel
推荐引用方式 GB/T 7714	Saaroni, Hadas,Harpaz, Tzvi,Alpert, Pinhas,et al. Automatic identification and classification of the northern part of the Red Sea trough and its application for climatological analysis[J],2020,40(7):3607-3622.
APA	Saaroni, Hadas,Harpaz, Tzvi,Alpert, Pinhas,&Ziv, Baruch.(2020).Automatic identification and classification of the northern part of the Red Sea trough and its application for climatological analysis.INTERNATIONAL JOURNAL OF CLIMATOLOGY,40(7),3607-3622.
MLA	Saaroni, Hadas,et al."Automatic identification and classification of the northern part of the Red Sea trough and its application for climatological analysis".INTERNATIONAL JOURNAL OF CLIMATOLOGY 40.7(2020):3607-3622.