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Extremely low temperature and its composite index based on stochastically re-sorting detrended fluctuation analysis
Alternative Title基于随机重排去趋势波动分析的极端低温事件研究及其综合指标的建立
Hou, W; Zhang, DQ; Qian, ZH; Feng, GL; Hou, W (reprint author), Natl Climate Ctr, Beijing 100081, Peoples R China.
2011
Source PublicationACTA PHYSICA SINICA
ISSN1000-3290
Volume60Issue:10Pages:805-818
AbstractBy combining the detrended fluctuation analysis ( DFA ) method with surrogate data method, and using the heuristic segmentation algorithm as well as Chi-Square statistics, we develop a new method to determine the threshold of extreme events, e. g. stochastically re-sorting detrended fluctuation analysis ( S-DFA ) method. By using the S-DFA method, we obtain the thresholds of extremely low temperature events from 1961 to 2006 in China and analyze their spatiao temporal characteristics of distribution. We also validate the effectiveness of the S-DFA method through extreme event detection using the temperature series. By defining the composite index of extremely low temperature events from the angle of predictability, this composite index is integrated with the information about the frequency and the strength of the extremely low temperature events, with considering the characteristic of regional climate system. Based on the composite index, we divide the extremely low temperature events during 1961-2006 in China into four different zones according to their own rank. The composite index of extremely low temperature tends to be katabatic on the whole, Before the the early 80's in the 20th century, the composite index changed according to two distinct 10-year quasi-periods, and after that the composite index was in a downward trend and was well below the average. Until after the mid-90's in the 20th century, it rose to about average value once again.
Other Abstract将去趋势波动分析法(detrended fluctuation analysis,DFA)和替代数据法相结合,同时引入启发式分割算法和卡方检验,提出了一种确定极端气候事件阈值的新方法,称为随机重排去趋势波动分析(stochastic re-sort detrended fluctuation analysis,S-DFA)方法.同百分位阈值方法相比,S-DFA方法明确指出了极端事件和非极端事件之间的临界值.基于中国气象局公布的中国165个国际交换站1961-2006年无缺测的逐日日平均气温资料,利用随机重排去趋势波动分析(S-DFA)方法计算并分析了中国极端低温事件阈值的空间分布特征,并对S-...
Keywordstochastic re-sort detrended fluctuation analysis extreme event threshold composite index 随机重排去趋势波动分析 极端事件 阈值 综合指标
Subject AreaPhysics
PublisherCHINESE PHYSICAL SOC
Publication PlaceBEIJING
Indexed BySCIE ; CSCD
Language中文
First Inst
Funding Project国家自然科学基金项目 ; 国家重点基础研究发展计划以及国家重大科学研究计划(973计划) ; 国家科技支撑计划
Host of Journal中国物理学会
Project NumberNational Natural Science Foundations of China [41005043, 40905034] ; State Key Program of Science Technology of China [2007BAC29B01, 2009BAC51B04] ; Global Change Research of Major National Scientific Research Plan [2010CB950504]
WOS IDWOS:000300718700122
CSCD IDCSCD:4371861
Funding OrganizationNSFC ; MOST
SubtypeArticle
Department[Hou Wei;
Zhang Da-Quan;
Feng Guo-Lin] Natl Climate Ctr, Beijing 100081, Peoples R China;
[Hou Wei] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temp E Asia, Beijing 100029, Peoples R China;
[Feng Guo-Lin] Lanzhou Univ, Coll Atmospher & Sci, Lanzhou 730000, Peoples R China;
[Qian Zhong-Hua] Yangzhou Univ, Coll Phys Sci & Technol, Yangzhou 225002, Peoples R China
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.lzu.edu.cn/handle/262010/119213
Collection大气科学学院
Corresponding AuthorHou, W (reprint author), Natl Climate Ctr, Beijing 100081, Peoples R China.
Recommended Citation
GB/T 7714
Hou, W,Zhang, DQ,Qian, ZH,et al. Extremely low temperature and its composite index based on stochastically re-sorting detrended fluctuation analysis[J]. ACTA PHYSICA SINICA,2011,60(10):805-818.
APA Hou, W,Zhang, DQ,Qian, ZH,Feng, GL,&Hou, W .(2011).Extremely low temperature and its composite index based on stochastically re-sorting detrended fluctuation analysis.ACTA PHYSICA SINICA,60(10),805-818.
MLA Hou, W,et al."Extremely low temperature and its composite index based on stochastically re-sorting detrended fluctuation analysis".ACTA PHYSICA SINICA 60.10(2011):805-818.
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