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  • 标题:Four-dimensional variational data assimilation for a limited area model
  • 本地全文:下载
  • 作者:Nils Gustafsson ; Xiang-Yu Huang ; Xiaohua Yang
  • 期刊名称:Tellus A: Dynamic Meteorology and Oceanography
  • 电子版ISSN:1600-0870
  • 出版年度:2012
  • 卷号:64
  • 期号:1
  • 页码:1-29
  • DOI:10.3402/tellusa.v64i0.14985
  • 摘要:A 4-dimensional variational data assimilation (4D-Var) scheme for the HIgh Resolution Limited Area Model (HIRLAM) forecasting system is described in this article. The innovative approaches to the multi-incremental formulation, the weak digital filter constraint and the semi-Lagrangian time integration are highlighted with some details. The implicit dynamical structure functions are discussed using single observation experiments, and the sensitivity to various parameters of the 4D-Var formulation is illustrated. To assess the meteorological impact of HIRLAM 4D-Var, data assimilation experiments for five periods of 1 month each were performed, using HIRLAM 3D-Var as a reference. It is shown that the HIRLAM 4D-Var consistently out-performs the HIRLAM 3D-Var, in particular for cases with strong mesoscale storm developments. The computational performance of the HIRLAM 4D-Var is also discussed. The review process was handled by Subject Editor Abdel Hannachi.
  • 关键词:data assimilation ; analysis ; numerical weather prediction
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