Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.07.029 |
Study of very long-period extreme precipitation records in Thessaloniki, Greece | |
Pakalidou, Nikoletta1; Karacosta, Petroula2 | |
2018-08-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 208页码:106-115 |
文章类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | England; Greece |
英文摘要 | The objective on this study is to fully statistically determine and describe the rainfall regime characteristics of the very long precipitation records of 124-year period (1892-2015) in Thessaloniki and moreover to apply extreme value statistical methodologies to extreme daily rainfall information (period, 1931-2015), in order to define the extreme precipitation probability distributions. To meet these objectives, the observed annual, monthly and daily rainfall measurements obtained at the Meteorological Station of the Department of Meteorology and Climatology of the Aristotle University of Thessaloniki are used. The use of both Mann-Kendall test and moving average methods are used to determine the profile of the examined very long-period rainfall regime in Thessaloniki, on annual, seasonal, and monthly basis. Taking into consideration the climatic change effect upon precipitation regimes, the extreme daily rainfall measurements are statistically analyzed with extreme value statistical methodologies, defining thus the extreme precipitation probability distribution functions. The Taylor diagram analysis, through combinations of appropriate correlation coefficients, standard deviations, and root-mean-square differences, are constructed to statistically quantify the degrees of similarity between reference points (mean annual precipitation) and results on seasonal and agricultural (agro-) seasonal basis. All the above tests are applied to detect possible changes in precipitation characteristics, over the study region, throughout the extreme long period of 124 years. The resulted probability distributions might potentially contribute to the prediction of extreme rainfall events, and be used for future climatic change projections. Moreover, based upon the resulted-adopted probability distributions, emerging from this extreme long study period, return periods for different extreme values of precipitation observed are calculated. |
英文关键词 | Extreme precipitation Statistical analysis Taylor diagrams Mann-Kendall test Extreme value statistics Extreme probability distributions Thessaloniki (Greece) |
领域 | 地球科学 |
收录类别 | SCI-E ; ISTP |
WOS记录号 | WOS:000433650500008 |
WOS关键词 | TREND ANALYSIS ; TIME-SERIES ; FLOOD RISK ; VARIABILITY ; TEMPERATURE ; STATISTICS ; EVENTS |
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/38160 |
专题 | 地球科学 |
作者单位 | 1.Univ Manchester, Sch Chem Engn & Analyt Sci, Manchester, Lancs, England; 2.Aristotle Univ Thessaloniki, Sch Phys, Thessaloniki, Greece |
推荐引用方式 GB/T 7714 | Pakalidou, Nikoletta,Karacosta, Petroula. Study of very long-period extreme precipitation records in Thessaloniki, Greece[J]. ATMOSPHERIC RESEARCH,2018,208:106-115. |
APA | Pakalidou, Nikoletta,&Karacosta, Petroula.(2018).Study of very long-period extreme precipitation records in Thessaloniki, Greece.ATMOSPHERIC RESEARCH,208,106-115. |
MLA | Pakalidou, Nikoletta,et al."Study of very long-period extreme precipitation records in Thessaloniki, Greece".ATMOSPHERIC RESEARCH 208(2018):106-115. |
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