globalchange  > 气候减缓与适应
DOI: 10.2166/wcc.2013.168
论文题名:
Proposing a new semi-parametric weather generator algorithm and comparison of six algorithms for non-precipitation climatic variables
作者: Ababaei B.; Sohrabi T.; Mirzaei F.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2014
卷: 5, 期:1
起始页码: 25
结束页码: 35
语种: 英语
英文关键词: Low-frequency variances ; Semi-parametric algorithm ; Weather generator
英文摘要: Six different weather generator models were compared. The first two models (M1 and M2) use a firstorder autoregressive daily model and the third model (M3) uses a newly proposed semi-parametric method to reproduce the correlation and autocorrelation of the variables. Three other models (M1-2, M2-2 and M3-2) are the combinations of these models with an adjustment algorithm for the lowfrequency variances (SL). The comparison revealed that M1-2 model (daily weather generator with the SL adjustment algorithm) and the M2-2 model (daily weather generator in combination with a monthly weather generator and the SL adjustment algorithm) are the best models in the study area. All the studied models have acceptable performance in relation to the shape of the probability distribution functions. Three first models have deficiencies in relation to the inter-annual standard deviations. The M2 and M3 models, in which the high-frequency standard deviation (SH) is used instead of the total standard deviation values (ST), slightly underestimated these inter-annual variations. But, the performance of the M1 model is considerably poorer than the other two models. The results revealed that the adjustment of the inter-annual standard deviations improves model performance. Moreover, the newly proposed algorithm has the potential for multi-station simulations. © IWA Publishing 2014.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67710
Appears in Collections:气候减缓与适应

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作者单位: Department of Irrigation and Reclamation Engineering, College of Agriculture and Natural Resources, University of Tehran, P.O. Box: 4111, Karaj, 31587-77871, Iran

Recommended Citation:
Ababaei B.,Sohrabi T.,Mirzaei F.. Proposing a new semi-parametric weather generator algorithm and comparison of six algorithms for non-precipitation climatic variables[J]. Journal of Water and Climate Change,2014-01-01,5(1)
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