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DOI | 10.1002/joc.5415 |
Nonlinear response of precipitation to climate indices using a non-stationary Poisson-generalized Pareto model: case study of southeastern Canada | |
Thiombiano, Alida N.1; St-Hilaire, Andre1; El Adlouni, Salah-Eddine2; Ouarda, Taha B. M. J.1 | |
2018-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38页码:E875-E888 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Quantile estimates are generally interpreted in association with the return period concept in practical engineering. To do so with the peaks-over-threshold (POT) approach, combined Poisson-generalized Pareto distributions (referred to as PD-GPD model) must be considered. In this article, we evaluate the incorporation of non-stationarity in the generalized Pareto distribution (GPD) and the Poisson distribution (PD) using, respectively, the smoothing-based B-spline functions and the logarithmic link function. Two models are proposed, a stationary PD combined to a non-stationary GPD (referred to as PD0-GPD1) and a combined non-stationary PD and GPD (referred to as PD1-GPD1). The teleconnections between hydro-climatological variables and a number of large-scale climate patterns allow using these climate indices as covariates in the development of non-stationary extreme value models. The case study is made with daily precipitation amount time series from southeastern Canada and two climatic covariates, the Arctic Oscillation (AO) and the Pacific North American (PNA) indices. A comparison of PD0-GPD1 and PD1-GPD1 models showed that the incorporation of non-stationarity in both POT models instead of solely in the GPD has an effect on the estimated quantiles. The use of the B-spline function as link function between the GPD parameters and the considered climatic covariates provided flexible non-stationary PD-GPD models. Indeed, linear and nonlinear conditional quantiles are observed at various stations in the case study, opening an interesting perspective for further research on the physical mechanism behind these simple and complex interactions. |
英文关键词 | nonlinearity non-stationarity Poisson-generalized Pareto model AO index PNA index B-splines precipitation Canada |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431999600059 |
WOS关键词 | PARTIAL DURATION SERIES ; FREQUENCY-DISTRIBUTION ; NORTHERN-HEMISPHERE ; SAMPLE EXTREMES ; TIME-SERIES ; VARIABILITY ; THRESHOLD ; MAXIMUM ; STATISTICS ; ESTIMATORS |
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/36749 |
专题 | 气候变化 |
作者单位 | 1.Inst Natl Rech Sci, Ctr Eau Terre Environm, 490 Couronne St, Quebec City, PQ G1K 9A9, Canada; 2.Univ Moncton, Moncton, NB, Canada |
推荐引用方式 GB/T 7714 | Thiombiano, Alida N.,St-Hilaire, Andre,El Adlouni, Salah-Eddine,et al. Nonlinear response of precipitation to climate indices using a non-stationary Poisson-generalized Pareto model: case study of southeastern Canada[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38:E875-E888. |
APA | Thiombiano, Alida N.,St-Hilaire, Andre,El Adlouni, Salah-Eddine,&Ouarda, Taha B. M. J..(2018).Nonlinear response of precipitation to climate indices using a non-stationary Poisson-generalized Pareto model: case study of southeastern Canada.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38,E875-E888. |
MLA | Thiombiano, Alida N.,et al."Nonlinear response of precipitation to climate indices using a non-stationary Poisson-generalized Pareto model: case study of southeastern Canada".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38(2018):E875-E888. |
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