DOI: 10.1002/2013GL057811
论文题名: A recurrence-based technique for detecting genuine extremes in instrumental temperature records
作者: Faranda D. ; Vaienti S.
刊名: Geophysical Research Letters
ISSN: 0094-8386
EISSN: 1944-8117
出版年: 2013
卷: 40, 期: 21 起始页码: 5782
结束页码: 5786
语种: 英语
英文关键词: daily data sets
; extreme events
; generalized extreme value
; recurrence statistics
Scopus关键词: Built-in tests
; Chaotic dynamical systems
; Daily datum
; Dynamical noise
; Extreme events
; Generalized extreme value
; Natural climate variabilities
; Recurrence time statistics
; Dynamical systems
; Instruments
; climate variation
; data set
; discriminant analysis
; error analysis
; extreme event
; generalist
; instrumentation
; noise
; statistical analysis
; temperature effect
; theoretical study
; timescale
英文摘要: In this paper, we analyze several instrumental records of temperatures at different locations by using new techniques originally developed for the analysis of extreme values of dynamical systems. We show that they have the same recurrence time statistics as a chaotic dynamical system perturbed with dynamical noise and by instrument errors. The technique provides a criterion to discriminate whether the recurrence of a certain temperature belongs to the normal variability or can be considered as a genuine extreme event with respect to a specific timescale fixed as parameter. The method gives a self-consistent estimation of the convergence of the statistics of recurrences toward the theoretical extreme value laws. Key Points The method distinguishes between real extremes and natural climate variability The method presents a built-in test of convergence The method is easy to be implemented and fast ©2013. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887566924&doi=10.1002%2f2013GL057811&partnerID=40&md5=776954fdb0d6714714b8962aea60f9dd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5650
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Laboratoire SPHYNX, Service de Physique de l'Etat Condensé, CNRS URA 2464, 91191 Gif-sur-Yvette, France
Recommended Citation:
Faranda D.,Vaienti S.. A recurrence-based technique for detecting genuine extremes in instrumental temperature records[J]. Geophysical Research Letters,2013-01-01,40(21).