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首页> 外文期刊>SOLA: Scientific Online Letters on the Atmosphere >Parameter Sensitivities of the Dual-Localization Approach in the Local Ensemble Transform Kalman Filter
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Parameter Sensitivities of the Dual-Localization Approach in the Local Ensemble Transform Kalman Filter

机译：局部集成变换卡尔曼滤波器中双重定位方法的参数敏感性

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References(27) Cited-By(4) Supplementary materials(1) In the ensemble Kalman filter, covariance localization plays an essential role in treating sampling errors in the ensemble-based error covariance between distant locations. We may limit the influence of observations excessively, particularly when the model resolution is very high, since larger-scale structures than the localization scale are removed due to tight localization for the high-resolution model. To retain the larger-scale structures with a limited ensemble size, the dual-localization approach, which considers two separate localization scales simultaneously, has been proposed. The dual-localization method analyzes small-scale and large-scale analysis increments separately using spatial smoothing and two localization scales. These are the control parameters of the dual-localization method, and this study aims to investigate the parameter sensitivities by performing a number of observing system simulation experiments using an intermediate AGCM known as the SPEEDY model. Two smoothing functions, the spherical harmonics spectral truncation and the Lanczos filter, are tested, and the results indicate no significant difference. Also, sensitivity to the two localization parameters is investigated, and the results show that the dual-localization approach outperforms traditional single localization with relatively wide choices of the two localization scales by about 400-km ranges. This suggests that we could avoid fine tuning of the two localization parameters.
机译：参考文献（27）被引用的文献（4）补充材料（1）在整体卡尔曼滤波器中，协方差局部化在处理基于采样的基于位置的整体误差协方差中起着至关重要的作用。我们可能会过分限制观察结果的影响，尤其是在模型分辨率很高时，这是因为高分辨率模型的紧密定位会删除比本地化规模更大的规模结构。为了保留具有有限整体大小的较大规模的结构，已经提出了双重定位方法，该方法同时考虑了两个单独的定位范围。双重定位方法使用空间平滑和两个定位比例分别分析小规模和大型分析增量。这些是双重定位方法的控制参数，本研究旨在通过使用称为SPEEDY模型的中间AGCM进行许多观测系统仿真实验来研究参数敏感性。测试了两个平滑函数，球谐函数频谱截断和Lanczos滤波器，结果表明没有显着差异。此外，研究了对两个定位参数的敏感性，结果表明，双定位方法在两个定位比例尺相对较宽的选择范围（约400公里）上优于传统的单个定位。这表明我们可以避免对两个定位参数进行微调。

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