globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-013-1979-2
Scopus记录号: 2-s2.0-84905117217
论文题名:
A new framework for multi-site weather generator: A two-stage model combining a parametric method with a distribution-free shuffle procedure
作者: Li Z.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 43, 期:2017-03-04
起始页码: 657
结束页码: 669
语种: 英语
英文关键词: Distribution-free method ; Hydrological effects ; Multi-site weather generator ; Spatial correlation
英文摘要: Keeping the spatial correlation of synthetic precipitation data is of utmost importance for hydrological modeling; however, most present weather generators are single-site models and ignore the spatial dependence in daily weather data. Multi-site weather generator is an effective method to solve this problem. This study proposes a new framework for multi-site weather generator denoted as two-stage weather generator (TSWG), in which the first stage generates the single-site precipitation occurrence and amount with a parametric chain-dependent process, and the second stage rebuilds the spatial correlation of the synthetic data using a post-processing, distribution-free shuffle procedure. Results show that TSWG reproduces the statistical parameters of the parametric stage quite well, such as wet days and precipitation amount, and it almost perfectly preserves the inter-station correlations of precipitation occurrence and amount as well as their dependences. Most important, it matches the input requirement of hydrological model and gives satisfactory hydrological simulations. There are several advantages for this new framework: (1) only one correlation matrix and two simple steps, no more input variables or iterative optimizations, are needed to rebuild the spatial correlation; (2) the statistical parameters of the observed data can be easily preserved; (3) the inter-station correlations can be satisfactorily rebuilt. As a post-processing method, the shuffle procedure used to reconstruct the spatial correlation has some potential extensions, such as turning current single-site weather generator into multi-site models and generating future multi-site climate scenarios. © 2013 Springer-Verlag Berlin Heidelberg.
资助项目: NSFC, National Natural Science Foundation of China
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54598
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作者单位: College of Natural Resources and Environment, Northwest AandF University, Yangling, 712100 Shaanxi, China

Recommended Citation:
Li Z.. A new framework for multi-site weather generator: A two-stage model combining a parametric method with a distribution-free shuffle procedure[J]. Climate Dynamics,2014-01-01,43(2017-03-04)
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