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Tellus A: Dynamic Meteorology and Oceanography Volume 72, 2020 - Issue 1
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Research Article

Application of observability Gramian to targeted observation in WRF data assimilation

Ryoichi Yoshimura1 Institute of Fluid Science, Tohoku University, Sendai, JapanCorrespondence[email protected]
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Aiko Yakeno1 Institute of Fluid Science, Tohoku University, Sendai, JapanORCID Iconhttps://orcid.org/0000-0003-1440-2417View further author information
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Takashi Misaka2 National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, JapanORCID Iconhttps://orcid.org/0000-0001-6808-400XView further author information
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Shigeru Obayashi1 Institute of Fluid Science, Tohoku University, Sendai, JapanView further author information
Pages 1-11 | Published online: 06 Dec 2019

Citations (5)

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Read on this site (1)

Wei Kang & Liang Xu. (2021) Some quantitative characteristics of error covariance for Kalman filters. Tellus A: Dynamic Meteorology and Oceanography 73:1, pages 1-19.
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Articles from other publishers (4)

Shun Takahashi, Yasuo Sasaki, Takayuki Nagata, Keigo Yamada, Kumi Nakai, Yuji Saito & Taku Nonomura. (2023) Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices. IEEE Access 11, pages 67850-67864.
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Keigo Yamada, Yuji Saito, Taku Nonomura & Keisuke Asai. (2022) Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise. IEEE Access 10, pages 79356-79364.
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S. Lakshmivarahan, John M. Lewis & Sai Kiran Reddy Maryada. 2022. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) 215 257 .
Vincent Mons & Olivier Marquet. (2021) Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation. Journal of Fluid Mechanics 923.
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