Errors of the day, bred vectors and singular vectors: Implications for ensemble forecasting and data assimilation

Shu Chih Yang, Matteo Corazza, Eugenia Kalnay

研究成果: 雜誌貢獻會議論文同行評審

摘要

Several methods for data assimilation and ensemble forecasting were compared by the use of quasi-geostrophic 3D-Var data assimilation simulation system. It was necessary to develop the adjoint of this model to compare 2D-Var with 4D-Var and with the local ensemble Kalman filtering (LEKF). The bred vectors (BV) were obtained through a breeding cycle which started by adding random perturbation to the analysis and the singular vectors (SV) were obtained by assuming that the perturbation behaved linearly with the chosen optimization time interval. The results show that the final SVs have a similar structure as the BVs and both of them have a ability to depict the shape of the background error.

原文???core.languages.en_GB???
頁(從 - 到)227-236
頁數10
期刊Bulletin of the American Meteorological Society
出版狀態已出版 - 2004
事件Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
持續時間: 11 1月 200415 1月 2004

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