| UKF滤波算法在数据同化中的应用 |
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| 引用本文： | 黄春林,李新.UKF滤波算法在数据同化中的应用[J].热带气象学报,2007,23(6):617-622. |
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| 作者姓名： | 黄春林 李新 |
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| 作者单位： | 中国科学院寒区旱区环境与工程研究所,甘肃,兰州,730000 |
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| 基金项目： | 国家自然科学基金;国家重点基础研究发展计划(973计划);中国科学院知识创新工程项目;中国科学院西部行动计划(二期)项目 |
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| 摘 要： | 介绍了一种新的数据同化算法（UKF，Unscented Kalman Filter），该算法不需要计算伴随矩阵，就能够解决模式的非线性问题。以Lorenz系统为例，进行了数据同化的数值试验。结果表明：基于UKF的同化方案与背景场的初始值无关，它能有效地抑制状态变量误差的增长，同化结果精度高。
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| 关 键 词： | UKF滤波 数据同化 Lorenz模型 |
| 文章编号： | 1004-4965（2007）06-0617-06 |
| 收稿时间： | 2006-09-04 |
| 修稿时间： | 2007-03-28 |
APPLICATION OF UNSCENTED KALMAN FILTER FOR DATA ASSIMILATION |
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| HUANG Chun-lin and LI Xin.APPLICATION OF UNSCENTED KALMAN FILTER FOR DATA ASSIMILATION[J].Journal of Tropical Meteorology,2007,23(6):617-622. |
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| Authors: | HUANG Chun-lin and LI Xin |
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| Institution: | Cold and Arid Regions Environmental and Engineering Research Institute, CAS, Lanzhou 730000, China;Cold and Arid Regions Environmental and Engineering Research Institute, CAS, Lanzhou 730000, China |
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| Abstract: | Unscented Kalman Filter(UKF) is a new data assimilation algorithm,which does not need adjoint matrix and can resolve the problem of nonlinearity existing in models.In this paper,the UKF algorithm is described in detail.The Lorenz model is used in numerical experiments to examine the performance of UKF.The results show that the data assimilation scheme based on UKF is independent of the first guess of background field.This method can also restrain the increase of state error and the assimilation results are satisfying. |
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| Keywords: | Unscented Kalman filter data assimilation Lorenz model |
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