| タイトル | Application of a Nonlinear and Non-Gaussian Sequential Estimation |
| DOI | info:doi/10.15017/16703 |
| 本文（外部サイト） | https://catalog.lib.kyushu-u.ac.jp/opac_download_md/16703/p285.pdf |
| 参考URL | http://hdl.handle.net/2324/16703 |
| 著者（英） | Manda, Atsuyoshi; Hirose, Naoki; Yanagi, Tetsuo |
| 発行日 | 2010-03-09 |
| 発行機関など | 九州大学大学院総合理工学府 |
| 刊行物名 | 九州大学大学院総合理工学報告 |
| 巻 | 25 |
| 号 | 2 |
| 開始ページ | 285 |
| 終了ページ | 289 |
| 刊行年月日 | 2003-09 |
| 言語 | eng |
| 内容記述 | The strong nonlinearity and non-Gaussian statistics of an ocean mixed layer model, which is based on the second-moment closure of turbulence, render traditional filtering techniques (e.g., Kalman filter) impractical for data assimilation. To overcome this problem, the sampling-importance resampling filter is introduced in this study. This filter represents the required (non-Gaussian) probability density function as a set of samples for implementing recursive Bayesian inference. It is not restricted by the assumption of linearity or Gaussain statistics. The numerical experiments using real life data clearly demonstrate the validity of this filter for the estimation problem of the ocean mixed layer process. |
| キーワード | Data Assimilation; Mixed Layer Model; Bayesian Interence |
| 資料種別 | Departmental Bulletin Paper |
| 著者版フラグ | publisher |
| ISSN | 1346-7883 |
| NCID | AA1147319X |
