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DOI10.1002/2017WR020906
An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions
Zhang, Jiangjiang1; Lin, Guang2,3; Li, Weixuan4; Wu, Laosheng5; Zeng, Lingzao1
2018-03-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:3页码:1716-1733
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Ensemble smoother (ES) has been widely used in inverse modeling of hydrologic systems. However, for problems where the distribution of model parameters is multimodal, using ES directly would be problematic. One popular solution is to use a clustering algorithm to identify each mode and update the clusters with ES separately. However, this strategy may not be very efficient when the dimension of parameter space is high or the number of modes is large. Alternatively, we propose in this paper a very simple and efficient algorithm, i.e., the iterative local updating ensemble smoother (ILUES), to explore multimodal distributions of model parameters in nonlinear hydrologic systems. The ILUES algorithm works by updating local ensembles of each sample with ES to explore possible multimodal distributions. To achieve satisfactory data matches in nonlinear problems, we adopt an iterative form of ES to assimilate the measurements multiple times. Numerical cases involving nonlinearity and multimodality are tested to illustrate the performance of the proposed method. It is shown that overall the ILUES algorithm can well quantify the parametric uncertainties of complex hydrologic models, no matter whether the multimodal distribution exists.


英文关键词ensemble smoother inverse modeling multimodal distribution
领域资源环境
收录类别SCI-E
WOS记录号WOS:000430364900017
WOS关键词MONTE-CARLO-SIMULATION ; BAYESIAN EXPERIMENTAL-DESIGN ; SEQUENTIAL DATA ASSIMILATION ; KALMAN FILTER ; DIFFERENTIAL EVOLUTION ; INVERSE METHODS ; EFFICIENT ; FLOW ; PROBABILITY ; CALIBRATION
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21207
专题资源环境科学
作者单位1.Zhejiang Univ, Coll Environm & Resource Sci, Inst Soil & Water Resources & Environm Sci, Zhejiang Prov Key Lab Agr Resources & Environm, Hangzhou, Zhejiang, Peoples R China;
2.Purdue Univ, Dept Math, W Lafayette, IN 47907 USA;
3.Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA;
4.Pacific Northwest Natl Lab, Richland, WA 99352 USA;
5.Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA
推荐引用方式
GB/T 7714
Zhang, Jiangjiang,Lin, Guang,Li, Weixuan,et al. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions[J]. WATER RESOURCES RESEARCH,2018,54(3):1716-1733.
APA Zhang, Jiangjiang,Lin, Guang,Li, Weixuan,Wu, Laosheng,&Zeng, Lingzao.(2018).An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions.WATER RESOURCES RESEARCH,54(3),1716-1733.
MLA Zhang, Jiangjiang,et al."An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions".WATER RESOURCES RESEARCH 54.3(2018):1716-1733.
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