用于海冰浓度分析的多尺度二阶自回归递归滤波方法

IF 1.4 3区 地球科学 Q3 OCEANOGRAPHY
Lu Yang, Xuefeng Zhang
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引用次数: 0

摘要

为了从观测数据中有效提取多尺度信息并提高计算效率,设计了一种多尺度二阶自回归递归滤波器(MSRF)方法。本研究中使用的二阶自回归滤波器试图取代空间多尺度递归滤波器(SMRF)方法中使用的传统一阶递归滤波器。实验结果表明,MSRF 方案成功提取了观测解析的各种尺度信息。此外,与 SMRF 方案相比,MSRF 方案在一定程度上提高了计算精度和效率。MSRF方案不仅可以传播到更远的距离而不会产生创新衰减,而且与SMRF方案相比,重建的海冰浓度结果与观测值之间的平均绝对偏差减少了约3.2%。另一方面,与传统的一阶递归滤波方案(SMRF)需要执行多次滤波相比,MSRF 方案只需在一次迭代中执行两次滤波过程,大大提高了滤波效率。在海冰浓度的二维实验中,MSRF 方案的计算时间仅为 SMRF 方案的 1/7。这说明 MSRF 方案能以更小的计算成本获得更好的性能,这对未来进一步应用于实时海洋或海冰数据同化系统具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-scale second-order autoregressive recursive filter approach for the sea ice concentration analysis

To effectively extract multi-scale information from observation data and improve computational efficiency, a multi-scale second-order autoregressive recursive filter (MSRF) method is designed. The second-order autoregressive filter used in this study has been attempted to replace the traditional first-order recursive filter used in spatial multi-scale recursive filter (SMRF) method. The experimental results indicate that the MSRF scheme successfully extracts various scale information resolved by observations. Moreover, compared with the SMRF scheme, the MSRF scheme improves computational accuracy and efficiency to some extent. The MSRF scheme can not only propagate to a longer distance without the attenuation of innovation, but also reduce the mean absolute deviation between the reconstructed sea ice concentration results and observations reduced by about 3.2 % compared to the SMRF scheme. On the other hand, compared with traditional first-order recursive filters using in the SMRF scheme that multiple filters are executed, the MSRF scheme only needs to perform two filter processes in one iteration, greatly improving filtering efficiency. In the two-dimensional experiment of sea ice concentration, the calculation time of the MSRF scheme is only 1/7 of that of SMRF scheme. This means that the MSRF scheme can achieve better performance with less computational cost, which is of great significance for further application in real-time ocean or sea ice data assimilation systems in the future.

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来源期刊
Acta Oceanologica Sinica
Acta Oceanologica Sinica 地学-海洋学
CiteScore
2.50
自引率
7.10%
发文量
3884
审稿时长
9 months
期刊介绍: Founded in 1982, Acta Oceanologica Sinica is the official bi-monthly journal of the Chinese Society of Oceanography. It seeks to provide a forum for research papers in the field of oceanography from all over the world. In working to advance scholarly communication it has made the fast publication of high-quality research papers within this field its primary goal. The journal encourages submissions from all branches of oceanography, including marine physics, marine chemistry, marine geology, marine biology, marine hydrology, marine meteorology, ocean engineering, marine remote sensing and marine environment sciences. It publishes original research papers, review articles as well as research notes covering the whole spectrum of oceanography. Special issues emanating from related conferences and meetings are also considered. All papers are subject to peer review and are published online at SpringerLink.
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