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Shi, Liangsheng, Zeng, Lingzao, Zhang, Dongxiao, Yang, Jinzhong (2012) Multiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow. Journal of Hydrology, 468. 22-34 doi:10.1016/j.jhydrol.2012.08.003

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Reference TypeJournal (article/letter/editorial)
TitleMultiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow
JournalJournal of Hydrology
AuthorsShi, LiangshengAuthor
Zeng, LingzaoAuthor
Zhang, DongxiaoAuthor
Yang, JinzhongAuthor
Year2012 (October)Volume468
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2012.08.003Search in ResearchGate
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Mindat Ref. ID7241412Long-form Identifiermindat:1:5:7241412:5
GUID0
Full ReferenceShi, Liangsheng, Zeng, Lingzao, Zhang, Dongxiao, Yang, Jinzhong (2012) Multiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow. Journal of Hydrology, 468. 22-34 doi:10.1016/j.jhydrol.2012.08.003
Plain TextShi, Liangsheng, Zeng, Lingzao, Zhang, Dongxiao, Yang, Jinzhong (2012) Multiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow. Journal of Hydrology, 468. 22-34 doi:10.1016/j.jhydrol.2012.08.003
In(2012) Journal of Hydrology Vol. 468. Elsevier BV

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Shi, Liangsheng, Yang, Jinzhong, Zeng, Lingzao (2012) Application of multiscale finite element method in the uncertainty qualification of large-scale groundwater flow. Stochastic Environmental Research and Risk Assessment, 26 (3). 393-404 doi:10.1007/s00477-011-0507-3
Shi, Liangsheng, Yang, Jinzhong, Zhang, Dongxiao, Li, Heng (2009) Probabilistic collocation method for unconfined flow in heterogeneous media. Journal of Hydrology, 365 (1). 4-10 doi:10.1016/j.jhydrol.2008.11.012
Lin, Lin, Xiong, Lihua, Shi, Liangsheng (2012) Sampling Error in Ensemble Kalman Filter for 2-D Groundwater Flow. Procedia Environmental Sciences, 12. 899-905 doi:10.1016/j.proenv.2012.01.365
Shi, Liangsheng, Zhang, Dongxiao, Lin, Lin, Yang, Jinzhong (2010) A multiscale probabilistic collocation method for subsurface flow in heterogeneous media. Water Resources Research, 46 (11). doi:10.1029/2010wr009066
Wang, Yakun, Shi, Liangsheng, Zha, Yuanyuan, Li, Xiaomeng, Zhang, Qiuru, Ye, Ming (2018) Sequential data-worth analysis coupled with ensemble Kalman filter for soil water flow: A real-world case study. Journal of Hydrology, 564. 76-88 doi:10.1016/j.jhydrol.2018.06.059
Dai, Cheng, Xue, Liang, Zhang, Dongxiao, Guadagnini, Alberto (2016) Data-worth analysis through probabilistic collocation-based Ensemble Kalman Filter. Journal of Hydrology, 540. 488-503 doi:10.1016/j.jhydrol.2016.06.037
Zeng, Lingzao, Zhang, Dongxiao (2010) A stochastic collocation based Kalman filter for data assimilation. Computational Geosciences, 14. 721-744 doi:10.1007/s10596-010-9183-5
Zhu, Penghui, Shi, Liangsheng, Zhu, Yan, Zhang, Qiuru, Huang, Kai, Williams, Mathew (2017) Data assimilation of soil water flow via ensemble Kalman filter: Infusing soil moisture data at different scales. Journal of Hydrology, 555. 912-925 doi:10.1016/j.jhydrol.2017.10.078
Zhu, Yan, Shi, Liangsheng, Lin, Lin, Yang, Jinzhong, Ye, Ming (2012) A fully coupled numerical modeling for regional unsaturated–saturated water flow. Journal of Hydrology, 475. 188-203 doi:10.1016/j.jhydrol.2012.09.048
Erdal, Daniel, Cirpka, Olaf A. (2017) Preconditioning an ensemble Kalman filter for groundwater flow using environmental-tracer observations. Journal of Hydrology, 545. 42-54 doi:10.1016/j.jhydrol.2016.11.064
Dai, Cheng, Xue, Liang, Zhang, Dongxiao, Guadagnini, Alberto (2018) Corrigendum to “Data-worth analysis through probabilistic collocation-based Ensemble Kalman Filter” [J. Hydrol. 540 (2016) 488–503. Journal of Hydrology, 557. 947pp. doi:10.1016/j.jhydrol.2018.01.040
 
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