| 模式误差动力特征：模式参数误差和物理过程描绘缺失误差 |
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| 引用本文： | 钟剑,黄思训,费建芳,等. 模式误差动力特征：模式参数误差和物理过程描绘缺失误差[J]. 大气科学, 2011, 35(6): 1169-1176. DOI: 10.3878/j.issn.1006-9895.2011.06.15 |
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| 作者姓名： | 钟剑 黄思训 费建芳 等 |
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| 作者单位： | 解放军理工大学气象学院, 南京, 211101 |
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| 基金项目： | 国家自然科学基金资助项目41005030和41175025 |
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| 摘 要： | 模式变最初始场误差和模式误差都是制约数值天气预报准确性提高的重要因素,传统数值预报和变分同化均忽略模式误差的影响.随着研究的深入,关于模式误差对数值预报影响的研究显得尤为重要.本文从非线性动力方程出发,推导出在模式存在参数误差和物理过程描绘缺失误差情况下的模式预报误差演变方程及短时间内误差平方均值近似表达式,并利用Li...
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| 关 键 词： | 参数误差 物理过程误差 Lorenz系统 变分同化 |
Dynamics of Model Errors: Accounting for Parameters Error and Physical Processes Lacking Error |
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| ZHONG Jian,HUANG Sixun,FEI Jianfang and et al. Dynamics of Model Errors: Accounting for Parameters Error and Physical Processes Lacking Error[J]. Chinese Journal of Atmospheric Sciences, 2011, 35(6): 1169-1176. DOI: 10.3878/j.issn.1006-9895.2011.06.15 |
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| Authors: | ZHONG Jian HUANG Sixun FEI Jianfang et al |
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| Affiliation: | Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101 |
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| Abstract: | Initial errors and model errors are the limiting factors to the improvement of the numerical weather prediction (NWP). Traditional NWP and variational data assimilation (VDA) always ignore the influence of model errors, but it is important to investigate the dynamics of model errors for deep research. Based on the nonlinear dynamic model, the model error equation and the mean quadratic error expression for short time which are independent of the particular model are obtained on the assumption that there exi... |
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| Keywords: | model parameters error physical processes lacking error Lorenz system variational data assimilation |
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