中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Advances in the study of uncertainty quantification of large-scale hydrological modeling system

文献类型:SCI/SSCI论文

作者Xia J.
发表日期2011
关键词uncertainty quantification hydrological model PSUADE land-atmosphere coupling model large scale surface parameterization schemes formal bayesian method data assimilation multicriteria methods metropolis algorithm input uncertainty simulation glue optimization methodology
英文摘要The regional hydrological system is extremely complex because it is affected not only by physical factors but also by human dimensions. And the hydrological models play a very important role in simulating the complex system. However, there have not been effective methods for the model reliability and uncertainty analysis due to its complexity and difficulty. The uncertainties in hydrological modeling come from four important aspects: uncertainties in input data and parameters, uncertainties in model structure, uncertainties in analysis method and the initial and boundary conditions. This paper systematically reviewed the recent advances in the study of the uncertainty analysis approaches in the large-scale complex hydrological model on the basis of uncertainty sources. Also, the shortcomings and insufficiencies in the uncertainty analysis for complex hydrological models are pointed out. And then a new uncertainty quantification platform PSUADE and its uncertainty quantification methods were introduced, which will be a powerful tool and platform for uncertainty analysis of large-scale complex hydrological models. Finally, some future perspectives on uncertainty quantification are put forward.
出处Journal of Geographical Sciences
21
5
801-819
收录类别SCI
语种英语
ISSN号1009-637X
源URL[http://ir.igsnrr.ac.cn/handle/311030/23054]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Xia J.. Advances in the study of uncertainty quantification of large-scale hydrological modeling system. 2011.

入库方式: OAI收割

来源:地理科学与资源研究所

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