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OALib Journal期刊
ISSN: 2333-9721
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集合滤波和三维变分混合数据同化方法研究
Keywords: 混合数据同化方法,集合调整卡尔曼滤波,三维变分
Abstract:
？发展了一种新的混合数据同化方法——基于集合滤波和三维变分的混合数据同化方法。该方法将集合调整卡尔曼滤波(ensembleadjustmentkalmanfilter,eakf)得到的集合样本扰动通过一个转换矩阵的形式直接作用到背景场上,利用顺序滤波的思想得到分析场的一个扰动;然后在三维变分(threedimensionalvariationalanalysis,3d-var)的框架下与观测数据进行拟合,从而给出分析场的最优估计。文中以lorenz63模型为例,开展了理想数据同化试验,结果表明,相比于集合调整卡尔曼滤波,这种新的混合同化方法可以给出更好的同化结果。
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