| 二阶有限元浅水模式的伴随变分资料同化 |
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| 引用本文： | 朱克云,秦又文. 二阶有限元浅水模式的伴随变分资料同化[J]. 云南大学学报(自然科学版), 1999, 21(5): 360-364 |
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| 作者姓名： | 朱克云 秦又文 |
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| 作者单位： | 成都气象学院,四川,成都,610041 |
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| 基金项目： | 国家自然科学基金，国家重大基础研究发展规划项目 |
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| 摘 要： | 应用二阶有限元浅水方程的伴随模式作资料同化场的数值试验，并利用极小化方法对具有随机扰动的初始场进行优化处理．通过该极小化算法，使所定义的目标函数达到最小，从而得到最优的气象要素初始场．数值试验结果表明：二阶有限元模式的变分资料同化对具有随机扰动的初始场的处理是很有效的．
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| 关 键 词： | 有限元 变分资料同化 伴随模式 |
| 文章编号： | 0258-7971(1999)05-0360-05 |
Variational Data Assimilation with a Two-stage Shallow-water Equations Model |
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| ZHU Ke-yun,QIN You-wen. Variational Data Assimilation with a Two-stage Shallow-water Equations Model[J]. Journal of Yunnan University(Natural Sciences), 1999, 21(5): 360-364 |
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| Authors: | ZHU Ke-yun QIN You-wen |
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| Abstract: | The adjoint model of a two stage finite element shallow water Equations is used to variational data assimilation in the meteorological data fields.The optimal methods is also used to optimal treatment of initial conditions with the random perturbations.Through the minimization algorithm the objective function to be defined can reach the minimal values and the optimal initial conditions are obtained.The results of numerical experiments show that the variational data assimilation with one stage finite element shallow water equations are very efficient to treat the initial conditions with random perturbation. |
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| Keywords: | finite element variational data assimilation adjoint model |
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