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DOI | 10.1007/s00382-017-3578-0 |
Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework | |
Ben Alaya, M. A.1; Ouarda, T. B. M. J.2,3; Chebana, F.2 | |
2018 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:1-15 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; U Arab Emirates |
英文摘要 | Probabilistic regression approaches for downscaling daily precipitation are very useful. They provide the whole conditional distribution at each forecast step to better represent the temporal variability. The question addressed in this paper is: how to simulate spatiotemporal characteristics of multisite daily precipitation from probabilistic regression models? Recent publications point out the complexity of multisite properties of daily precipitation and highlight the need for using a non-Gaussian flexible tool. This work proposes a reasonable compromise between simplicity and flexibility avoiding model misspecification. A suitable nonparametric bootstrapping (NB) technique is adopted. A downscaling model which merges a vector generalized linear model (VGLM as a probabilistic regression tool) and the proposed bootstrapping technique is introduced to simulate realistic multisite precipitation series. The model is applied to data sets from the southern part of the province of Quebec, Canada. It is shown that the model is capable of reproducing both at-site properties and the spatial structure of daily precipitations. Results indicate the superiority of the proposed NB technique, over a multivariate autoregressive Gaussian framework (i.e. Gaussian copula). |
英文关键词 | Statistical downscaling Vector generalized linear model Multisite daily precipitation Copula Multivariate autoregressive Gaussian field Binary entropy Non parametric bootstrapping |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000422908700001 |
WOS关键词 | DAILY RAINFALL DATA ; WEATHER GENERATOR ; MODEL ; COPULA ; TEMPERATURE ; REGRESSION ; HYDROLOGY ; FIELDS ; DISTRIBUTIONS ; UNCERTAINTY |
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/36378 |
专题 | 气候变化 |
作者单位 | 1.Univ Victoria, Pacific Climate Impacts Consortium, Stn CSC, POB 1700, Victoria, BC V8W 2Y2, Canada; 2.ETE, INRS, 490 Rue Couronne, Quebec City, PQ G1K 9A9, Canada; 3.Masdar Inst Sci & Technol, POB 54224, Abu Dhabi, U Arab Emirates |
推荐引用方式 GB/T 7714 | Ben Alaya, M. A.,Ouarda, T. B. M. J.,Chebana, F.. Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework[J]. CLIMATE DYNAMICS,2018,50:1-15. |
APA | Ben Alaya, M. A.,Ouarda, T. B. M. J.,&Chebana, F..(2018).Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework.CLIMATE DYNAMICS,50,1-15. |
MLA | Ben Alaya, M. A.,et al."Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework".CLIMATE DYNAMICS 50(2018):1-15. |
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