| 改进的切线性模式对一个边界层模式变分资料同化的改善 |
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| 作者姓名： | Zhu Jiang Wang Hui Masafumi Kamachi |
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| 作者单位： | Zhu JiangICCES，Institute of Atmospheric Physics，Chinese Academy of Sciences，Beijing 100029Wang HuiNational Natural Science Foundation of China，Beijing 100085Masafumi KamachiMeteorological Research Institute，Tsukuba，Japan |
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| 基金项目： | Acknowledgments. The authors would like to thank Prof. Z. Yuan for her numerous suggestions in the writing of this paper. This work is supported by the National Natural Science Foundation of China (Grant No.40176009), the National Key Programme for Devel |
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| 摘 要： | 大气、海洋中边界层物理过程的强非线性会对切线性模式近似（尤其是当积分时间长时）有较大的影响，从而给相应的4维变分资料同化问题的求解造成困难。本构造了Mellor-Yamada湍流封闭模式（level 2.5)的一个改进的切线性模式，相比通常的切线性模式和简化的切线性模式可以提高对非线性扰动的逼近。利用这个改进的切线性模式的伴随模式分别进行了1到7天的变分资料同化试验，得到了满意的结果。而用通常的伴随模式和简化的伴随模式都无法得到令人满意的结果。
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| 关 键 词： | 边界层模式 资料同化 切线性模式 伴随模式 混合层 边界层 大气 海洋 |
| 收稿时间： | 19 July 2001 |
The improvement made by a modified TLM in 4DVAR with a geophysical boundary layer model |
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| Zhu Jiang,Wang Hui,Masafumi Kamachi.The improvement made by a modified TLM in 4DVAR with a geophysical boundary layer model[J].Advances in Atmospheric Sciences,2002,19(4):563-582. |
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| Authors: | Zhu Jiang Wang Hui Masafumi Kamachi |
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| Institution: | ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,National Natural Science Foundation of China, Beijing 100085,Meteorological Research Institute, Tsukuba, Japan |
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| Abstract: | The strong nonlinearity of boundary layer parameterizations in atmospheric and oceanic models can cause difficulty for tangent linear models in approximating nonlinear perturbations when the time integration grows longer. Consequently, the related 4-D variational data assimilation problems could be difficult to solve. A modified tangent linear model is built on the Mellor-Yamada turbulent closure (level 2.5) for 4-D variational data assimilation. For oceanic mixed layer model settings, the modified tangent linear model produces better finite amplitude, nonlinear perturbation than the full and simplified tangent linear models when the integration time is longer than one day. The corresponding variational data assimilation performances based on the adjoint of the modified tangent linear model are also improved compared with those adjoints of the full and simplified tangent linear models. |
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| Keywords: | data assimilation tangent linear models adjoint models mixed layer |
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