| タイトル | The DAO Retrospective Data Assimilation System |
| 本文（外部サイト） | http://hdl.handle.net/2060/20000115871 |
| 著者（英） | Todling, Richardo; Zhu, Yanqiu; Einaudi, Franco |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2000-01-01 |
| 言語 | eng |
| 内容記述 | The fixed-lag Kalman smoother of Cohn et al. (1994), or a version of a more computationally feasible approximation of it developed by Todling et al. (1998), is under implementation at the Data Assimilation Office (DAO) to build a retrospective data assimilation system (RDAS). The initial version of the RDAS uses the physical-space statistical analysis system and a modification of the incremental analysis update (IAU) procedure of Bloom et al. (1996); a follow up version of the RDAS Nill require the use of the adjoint of the DAO general circulation model (developed by Y. Yang and M Navon). The retrospective procedure is designed to produce improved analyses as well as improved assimilated fields consequently providing an improved climate representation through data assimilation. |
| NASA分類 | Theoretical Mathematics |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/226603 |
