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Title: An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [1]
  1. Zhejiang Provincial Key Laboratory of Agricultural Resources and EnvironmentInstitute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang UniversityHangzhou China
  2. Department of Mathematics and School of Mechanical EngineeringPurdue UniversityWest Lafayette IN USA
  3. Pacific Northwest National LaboratoryRichland WA USA
  4. Department of Environmental SciencesUniversity of CaliforniaRiverside CA USA
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Name: Water Resources Research Journal Volume: 54 Journal Issue: 3; Journal ID: ISSN 0043-1397
American Geophysical Union (AGU)
Country of Publication:
United States

Citation Formats

Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, and Zeng, Lingzao. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions. United States: N. p., 2018. Web. doi:10.1002/2017WR020906.
Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, & Zeng, Lingzao. An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions. United States. doi:10.1002/2017WR020906.
Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, and Zeng, Lingzao. Sat . "An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions". United States. doi:10.1002/2017WR020906.
title = {An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions},
author = {Zhang, Jiangjiang and Lin, Guang and Li, Weixuan and Wu, Laosheng and Zeng, Lingzao},
abstractNote = {},
doi = {10.1002/2017WR020906},
journal = {Water Resources Research},
number = 3,
volume = 54,
place = {United States},
year = {2018},
month = {3}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1002/2017WR020906

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