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

Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [3] ; ORCiD logo [4] ; ORCiD logo [1]
  1. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou China
  2. Department of Mathematics and School of Mechanical Engineering, Purdue University, West Lafayette IN USA
  3. Pacific Northwest National Laboratory, Richland WA USA
  4. Department of Environmental Sciences, University of California, Riverside CA USA
Publication Date:
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
Publisher:
American Geophysical Union (AGU)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1433557

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., 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. 2018. "An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions". United States. doi:10.1002/2017WR020906.
@article{osti_1433557,
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}
}