| 一阶有限元浅水模式的变分资料同化 |
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| 引用本文： | 朱克云,乔春贵,高晓梅.一阶有限元浅水模式的变分资料同化[J].成都信息工程学院学报,1999(3). |
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| 作者姓名： | 朱克云 乔春贵 高晓梅 |
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| 作者单位： | 成都气象学院(朱克云)，河南省气象局(乔春贵)，四川省气象局(高晓梅) |
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| 摘 要： | 一阶有限元浅水方程的伴随模式应用于气象资料同化场，并利用最优化方法对具有随机扰动的初始场进行优化处理。通过极小化算法，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。数值试验结果表明这种处理是很有效的
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| 关 键 词： | 目标函数 变分资料同化 伴随模式 |
Variation data assimilation with a model of the first order shallow water equation |
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| ZHU Ke yun ,QIAO Chun gui ,GAO Xiao mei.Variation data assimilation with a model of the first order shallow water equation[J].Journal of Chengdu University of Information Technology,1999(3). |
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| Authors: | ZHU Ke yun QIAO Chun gui GAO Xiao mei |
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| Institution: | ZHU Ke yun 1,QIAO Chun gui 2,GAO Xiao mei 3 |
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| Abstract: | The adjoint model of the first order finite element shallow water equation is applied to the variation data assimilation in the meteorological data field.The initial conditions with the random perturbations are treated optimally.Through the minimization algorithm the defined objective function reaches the minimal values and the optimal initial conditions are obtained.The results of the numerical experiments show that this kind of treatment is very efficient. |
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| Keywords: | objective function variation data assimilation adjoint model |
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