Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM
Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble Kalman filter (EnKF), and ensemble square-root Kalman filter (EnSKF) for coastal ocean problems in three idealized regimes: a flat bottom circular shelf driven by tidal forcing at the open boundary; an linear slope...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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American Geophysical Union
2011
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| Online Access: | http://hdl.handle.net/1721.1/64659 https://orcid.org/0000-0003-2431-6838 |
| _version_ | 1826192190114627584 |
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| author | Chen, Changsheng Wei, Jun Beardsley, Robert C. Lai, Zhigang Xue, Pengfei Lyu, Sangjun Xu, Qichun Qi, Jianhua Cowles, Geoffrey W. Rizzoli, Paola M |
| author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Chen, Changsheng Wei, Jun Beardsley, Robert C. Lai, Zhigang Xue, Pengfei Lyu, Sangjun Xu, Qichun Qi, Jianhua Cowles, Geoffrey W. Rizzoli, Paola M |
| author_sort | Chen, Changsheng |
| collection | MIT |
| description | Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble Kalman filter (EnKF), and ensemble square-root Kalman filter (EnSKF) for coastal ocean problems in three idealized regimes: a flat bottom circular shelf driven by tidal forcing at the open boundary; an linear slope continental shelf with river discharge; and a rectangular estuary with tidal flushing intertidal zones and freshwater discharge. The hydrodynamics model used in this study is the unstructured grid Finite-Volume Coastal Ocean Model (FVCOM). Comparison results show that the success of the data assimilation method depends on sampling location, assimilation methods (univariate or multivariate covariance approaches), and the nature of the dynamical system. In general, for these applications, EnKF and EnSKF work better than RRKF, especially for time-dependent cases with large perturbations. In EnKF and EnSKF, multivariate covariance approaches should be used in assimilation to avoid the appearance of unrealistic numerical oscillations. Because the coastal ocean features multiscale dynamics in time and space, a case-by-case approach should be used to determine the most effective and most reliable data assimilation method for different dynamical systems. |
| first_indexed | 2024-09-23T09:07:23Z |
| format | Article |
| id | mit-1721.1/64659 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:07:23Z |
| publishDate | 2011 |
| publisher | American Geophysical Union |
| record_format | dspace |
| spelling | mit-1721.1/646592024-05-15T03:20:34Z Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM Chen, Changsheng Wei, Jun Beardsley, Robert C. Lai, Zhigang Xue, Pengfei Lyu, Sangjun Xu, Qichun Qi, Jianhua Cowles, Geoffrey W. Rizzoli, Paola M Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Malanotte-Rizzoli, Paola Malanotte-Rizzoli, Paola Wei, Jun Lyu, Sangjun Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble Kalman filter (EnKF), and ensemble square-root Kalman filter (EnSKF) for coastal ocean problems in three idealized regimes: a flat bottom circular shelf driven by tidal forcing at the open boundary; an linear slope continental shelf with river discharge; and a rectangular estuary with tidal flushing intertidal zones and freshwater discharge. The hydrodynamics model used in this study is the unstructured grid Finite-Volume Coastal Ocean Model (FVCOM). Comparison results show that the success of the data assimilation method depends on sampling location, assimilation methods (univariate or multivariate covariance approaches), and the nature of the dynamical system. In general, for these applications, EnKF and EnSKF work better than RRKF, especially for time-dependent cases with large perturbations. In EnKF and EnSKF, multivariate covariance approaches should be used in assimilation to avoid the appearance of unrealistic numerical oscillations. Because the coastal ocean features multiscale dynamics in time and space, a case-by-case approach should be used to determine the most effective and most reliable data assimilation method for different dynamical systems. United States. Office of Naval Research (grant N00014-06-1-0290) National Science Foundation (U.S.) (grant OCE-0234545) National Science Foundation (U.S.) (grant OCE-0227679) National Science Foundation (U.S.) (grant OCE-0606928) National Science Foundation (U.S.) (grant OCE-0712903) National Science Foundation (U.S.) (grant OCE-0726851) National Science Foundation (U.S.) (grant OCE-0814505) United States. National Oceanic and Atmospheric Administration (grant NA-16OP2323) National Science Foundation (U.S.) (grant ARC0712903) National Science Foundation (U.S.) (grant ARC0732084) National Science Foundation (U.S.) (grant ARC0804029) URI Sea Grant (R/P-061) Massachusetts Institute of Technology. Sea Grant College Program (2006-RC-103) Massachusetts Marine Fisheries Institute (NOAA grant NA05NMF4721131) Massachusetts Marine Fisheries Institute (NOAA grant NA04NMF4720332) National Science Foundation (U.S.) (grant OCE-02227679) Massachusetts Institute of Technology. Sea Grant College Program (NA06OAR1700019) 2011-06-22T21:14:43Z 2011-06-22T21:14:43Z 2009-05 2007-09 Article http://purl.org/eprint/type/JournalArticle 0148–0227 http://hdl.handle.net/1721.1/64659 Chen, C., P. Malanotte-Rizzoli, J. Wei, R. C. Beardsley, Z. Lai, P. Xue, S. Lyu, Q. Xu, J. Qi, and G. W. Cowles (2009), Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM, J. Geophys. Res., 114, C05011, doi:10.1029/2007JC004548. ©2009 American Geophysical Union https://orcid.org/0000-0003-2431-6838 en_US http://dx.doi.org/10.1029/2007JC004548 Journal of Geophysical Research Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Geophysical Union Prof. Malanotte-Rizzoli via Chris Sherratt |
| spellingShingle | Chen, Changsheng Wei, Jun Beardsley, Robert C. Lai, Zhigang Xue, Pengfei Lyu, Sangjun Xu, Qichun Qi, Jianhua Cowles, Geoffrey W. Rizzoli, Paola M Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title | Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title_full | Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title_fullStr | Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title_full_unstemmed | Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title_short | Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM |
| title_sort | application and comparison of kalman filters for coastal ocean problems an experiment with fvcom |
| url | http://hdl.handle.net/1721.1/64659 https://orcid.org/0000-0003-2431-6838 |
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