DOI: 10.1007/s00382-017-3578-0
Scopus记录号: 2-s2.0-85014748018
论文题名: Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework
作者: Ben Alaya M.A. ; Ouarda T.B.M.J. ; Chebana F.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 50, 期: 2018-01-02 语种: 英语
英文关键词: Binary entropy
; Copula
; Multisite daily precipitation
; Multivariate autoregressive Gaussian field
; Non parametric bootstrapping
; Statistical downscaling
; Vector generalized linear model
Scopus关键词: bootstrapping
; downscaling
; entropy
; Gaussian method
; multivariate analysis
; numerical model
; precipitation assessment
; spatiotemporal analysis
; vector
; Canada
; Quebec [Canada]
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). © 2017, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109501
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Pacific Climate Impacts Consortium, University of Victoria, PO Box 1700, Stn CSC, Victoria, BC V8W2Y2, Canada; INRS-ETE, 490 rue de la Couronne, Quebec, QC G1K 9A9, Canada; Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates
Recommended Citation:
Ben Alaya M.A.,Ouarda T.B.M.J.,Chebana F.. Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework[J]. Climate Dynamics,2018-01-01,50(2018-01-02)