Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter

Man, Jun; Li, Weixuan; Zeng, Lingzao; Wu, Laosheng

doi:10.1016/j.advwatres.2016.03.016

Title: Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter

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Authors:

;

; Zeng, Lingzao; Wu, Laosheng

Publication Date:: Wed Jun 01 00:00:00 EDT 2016

Sponsoring Org.:: USDOE

OSTI Identifier:: 1424548

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Advances in Water Resources

Additional Journal Information:: Journal Name: Advances in Water Resources Journal Volume: 92 Journal Issue: C; Journal ID: ISSN 0309-1708

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

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                    Man, Jun, Li, Weixuan, Zeng, Lingzao, and Wu, Laosheng. Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter.  United Kingdom: N. p., 2016. 
Web.  doi:10.1016/j.advwatres.2016.03.016.

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                    Man, Jun, Li, Weixuan, Zeng, Lingzao, & Wu, Laosheng. Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter.  United Kingdom.  https://doi.org/10.1016/j.advwatres.2016.03.016

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                    Man, Jun, Li, Weixuan, Zeng, Lingzao, and Wu, Laosheng. Wed .  
"Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter".  United Kingdom.  https://doi.org/10.1016/j.advwatres.2016.03.016.

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@article{osti_1424548,

  title        = {Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter},

  author       = {Man, Jun and Li, Weixuan and Zeng, Lingzao and Wu, Laosheng},

  abstractNote = {},

  doi          = {10.1016/j.advwatres.2016.03.016},

  journal      = {Advances in Water Resources},

  number       = C,

  volume       = 92,

  place        = {United Kingdom},

  year         = {Wed Jun 01 00:00:00 EDT 2016},

  month        = {Wed Jun 01 00:00:00 EDT 2016}

}

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