DOI: 10.1007/s00382-015-2908-3
Scopus记录号: 2-s2.0-84947553490
论文题名: Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model
作者: Ben Alaya M.A. ; Chebana F. ; Ouarda T.B.M.J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-05-06 起始页码: 1383
结束页码: 1397
语种: 英语
英文关键词: Climate downscaling
; Gaussian copula
; Multisite
; Multivariable
; Precipitation
; Quantile regression
; Temperature
英文摘要: Statistical downscaling techniques are required to refine atmosphere–ocean global climate data and provide reliable meteorological information such as a realistic temporal variability and relationships between sites and variables in a changing climate. To this end, the present paper introduces a modular structure combining two statistical tools of increasing interest during the last years: (1) Gaussian copula and (2) quantile regression. The quantile regression tool is employed to specify the entire conditional distribution of downscaled variables and to address the limitations of traditional regression-based approaches whereas the Gaussian copula is performed to describe and preserve the dependence between both variables and sites. A case study based on precipitation and maximum and minimum temperatures from the province of Quebec, Canada, is used to evaluate the performance of the proposed model. Obtained results suggest that this approach is capable of generating series with realistic correlation structures and temporal variability. Furthermore, the proposed model performed better than a classical multisite multivariate statistical downscaling model for most evaluation criteria. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53559
Appears in Collections: 过去全球变化的重建
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作者单位: INRS-ETE, 490 rue de la Couronne, Quebec, QC, Canada; Institute Center for Water and Environment (iWater), Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates
Recommended Citation:
Ben Alaya M.A.,Chebana F.,Ouarda T.B.M.J.. Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model[J]. Climate Dynamics,2016-01-01,47(2017-05-06)