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DOI10.1007/s00382-018-4159-6
Definition of a temporal distribution index for high temporal resolution precipitation data over Peninsular Spain and the Balearic Islands: the fractal dimension; and its synoptic implications
Meseguer-Ruiz, Oliver1,7; Osborn, Timothy J.2; Sarricolea, Pablo3; Jones, Philip D.2,4; Olcina Cantos, Jorge5; Serrano-Notivoli, Roberto6; Martin-Vide, Javier7
2019
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52页码:439-456
文章类型Article
语种英语
国家Chile; England; Saudi Arabia; Spain
英文摘要

Precipitation on the Spanish mainland and in the Balearic archipelago exhibits a high degree of spatial and temporal variability, regardless of the temporal resolution of the data considered. The fractal dimension indicates the property of self-similarity, and in the case of this study, wherein it is applied to the temporal behaviour of rainfall at a fine (10-min) resolution from a total of 48 observatories, it provides insights into its more or less convective nature. The methodology of Jenkinson & Collison which automatically classifies synoptic situations at the surface, as well as an adaptation of this methodology at 500hPa, was applied in order to gain insights into the synoptic implications of extreme values of the fractal dimension. The highest fractal dimension values in the study area were observed in places with precipitation that has a more random behaviour over time with generally high totals. Four different regions in which the atmospheric mechanisms giving rise to precipitation at the surface differ from the corresponding above-ground mechanisms have been identified in the study area based on the fractal dimension. In the north of the Iberian Peninsula, high fractal dimension values are linked to a lower frequency of anticyclonic situations, whereas the opposite occurs in the central region. In the Mediterranean, higher fractal dimension values are associated with a higher frequency of the anticyclonic type and a lower frequency of the advective type from the east. In the south, lower fractal dimension values indicate higher frequency with respect to the anticyclonic type from the east and lower frequency with respect to the cyclonic type.


英文关键词Precipitation Fractal dimension Jenkinson & Collison Weather types Iberian Peninsula Western Mediterranean
领域气候变化
收录类别SCI-E
WOS记录号WOS:000460619200026
WOS关键词CIRCULATION WEATHER TYPES ; IBERIAN PENINSULA ; OBJECTIVE CLASSIFICATION ; ATMOSPHERIC CIRCULATION ; RAINFALL EXTREMES ; HURST EXPONENT ; VARIABILITY ; PREDICTABILITY ; OSCILLATION ; PROVINCE
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/35272
专题气候变化
作者单位1.Univ Tarapaca, Dept Ciencias Hist & Geog, 18 Septiembre, Arica 2222, Chile;
2.Univ East Anglia, Sch Environm Sci, Climat Res Unit, Norwich, Norfolk, England;
3.Univ Chile, Dept Geog, Santiago, Chile;
4.King Abdulaziz Univ, Dept Meteorol, Ctr Excellence Climate Change Res, Jeddah 21589, Saudi Arabia;
5.Univ Alicante, Interuniv Inst Geog, Alicante, Spain;
6.Barcelona Supercomp Ctr, Barcelona, Spain;
7.Univ Barcelona, Climatol Grp, Barcelona, Spain
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GB/T 7714
Meseguer-Ruiz, Oliver,Osborn, Timothy J.,Sarricolea, Pablo,et al. Definition of a temporal distribution index for high temporal resolution precipitation data over Peninsular Spain and the Balearic Islands: the fractal dimension; and its synoptic implications[J]. CLIMATE DYNAMICS,2019,52:439-456.
APA Meseguer-Ruiz, Oliver.,Osborn, Timothy J..,Sarricolea, Pablo.,Jones, Philip D..,Olcina Cantos, Jorge.,...&Martin-Vide, Javier.(2019).Definition of a temporal distribution index for high temporal resolution precipitation data over Peninsular Spain and the Balearic Islands: the fractal dimension; and its synoptic implications.CLIMATE DYNAMICS,52,439-456.
MLA Meseguer-Ruiz, Oliver,et al."Definition of a temporal distribution index for high temporal resolution precipitation data over Peninsular Spain and the Balearic Islands: the fractal dimension; and its synoptic implications".CLIMATE DYNAMICS 52(2019):439-456.
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