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

Authors:
ORCiD logo; ORCiD logo; ;
Publication Date:
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

Citation Formats

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. https://doi.org/10.1016/j.advwatres.2016.03.016.
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
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.
@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 = {2016},
month = {6}
}

Journal Article:
Free Publicly Available Full Text

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Cited by: 17 works
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