State estimation and modeling error approach for 2-D shallow water equations and Lagrangian measurements-Reference-Cited by-同舟云学术

State estimation and modeling error approach for 2-D shallow water equations and Lagrangian measurements

Published:2011-10 Issue:10 Volume:47 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Tossavainen Olli-Pekka¹²,Percelay Julie¹,Stacey Mark¹,Kaipio Jari P.³²,Bayen Alexandre⁴

Affiliation:

1. Department of Civil and Environmental Engineering; University of California Berkeley; Berkeley California USA

2. Department of Applied Physics; University of Eastern Finland; Kuopio Finland

3. Department of Mathematics; University of Auckland; Auckland New Zealand

4. Department of Electrical Engineering and Computer Science, Department of Civil and Environmental Engineering; University of California Berkeley; Berkeley California USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2010WR009401/fullpdf

Reference53 articles.

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3. Flow relevant covariance localization during dynamic data assimilation using EnKF;Devegowda;Adv. Water Resour.,2010

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