DOI: 10.5194/hess-18-3015-2014
Scopus记录号: 2-s2.0-84923257394
论文题名: Simulation of rainfall time series from different climatic regions using the direct sampling technique
作者: Oriani F ; , Straubhaar J ; , Renard P ; , Mariethoz G
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 8 起始页码: 3015
结束页码: 3031
语种: 英语
Scopus关键词: Computer simulation
; Rain
; Time series
; Climatic regions
; Daily rainfall records
; Multiple-point statistics
; Non-parametric alternatives
; Statistical modeling
; Statistical relations
; Time-series simulation
; Training data sets
; Sampling
; algorithm
; data set
; Markov chain
; numerical model
; optimization
; precipitation assessment
; rainfall
; sampling
; statistical analysis
; time series analysis
英文摘要: The direct sampling technique, belonging to the family of multiple-point statistics, is proposed as a nonparametric alternative to the classical autoregressive and Markov-chain-based models for daily rainfall time-series simulation. The algorithm makes use of the patterns contained inside the training image (the past rainfall record) to reproduce the complexity of the signal without inferring its prior statistical model: the time series is simulated by sampling the training data set where a sufficiently similar neighborhood exists. The advantage of this approach is the capability of simulating complex statistical relations by respecting the similarity of the patterns at different scales. The technique is applied to daily rainfall records from different climate settings, using a standard setup and without performing any optimization of the parameters. The results show that the overall statistics as well as the dry/wet spells patterns are simulated accurately. Also the extremes at the higher temporal scale are reproduced adequately, reducing the well known problem of overdispersion. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78169
Appears in Collections: 气候变化事实与影响
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作者单位: Centre for Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland; School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
Recommended Citation:
Oriani F,, Straubhaar J,, Renard P,et al. Simulation of rainfall time series from different climatic regions using the direct sampling technique[J]. Hydrology and Earth System Sciences,2014-01-01,18(8)