资源简介

摘要： 模型状态同化精度受多种方面因素的影响,针对状态同化中模型参数的不确定性问题,状态与参数同时估计为此提供了一种较好的解决方案,即在进行状态同化的过程中得到合理的参数估计值。在Lorenz-63模型的基础上构建状态与参数同时估计框架,比较分析增广集合卡尔曼滤波 (AEnKF,Augmented Ensemble Kalman Filter)、双重集合卡尔曼滤波(DEnKF,Dual Ensemble Kalman Filter)和同时优化与同化方法(SODA,Simultaneous Optimization and Data Assimilation)在集合数、观测误差和观测数不同时的参数和状态估计结果差异,由此探讨3种方法的优劣及适用性。研究结果表明:3种方法都能较好地估计模型的状态和参数,AEnKF的误差在集合数不大于20时最大,随着集合数增加降低的速率最小；3种方法的RMSE值随观测误差的增大而增大,但算法间差异不大；观测数变为1时3种方法的结果都变差,其中AEnKF最明显。 关键词： 集合卡尔曼滤波(EnKF);  Lorenz-63模型;  数据同化;  AEnKF;  DEnKF;  SODA     Abstract: The precision of model states assimilation is affected by various factors.For the problem of the uncertain parameters of the model in the process of states assimilation,simultaneous states and parameters estimation is a preferred approach to solve it which obtains the rational estimation of parameters during states assimilation.Establish the framework of simultaneous estimation based on Lorenz model,and compare the differential performances among the following three methods:AEnKF(Augmented Ensemble Kalman Filter),DEnKF(Dual Ensemble Kalman Filter) and SODA(Simultaneous Optimization and Data Assimilation) by changing ensemble size,observation variance and the number of observation to judge the merits and applicability of these methods.According to the final comparative studies,the RMSE of states in the AEnKF algorithm was the largest one when ensemble size was not more than 20,and decreased slowly along with ensemble size increasing; the RMSE of all the three algorithms added when observation variance increased,but the discrimination among the three is tiny; the results of algorithms got worse for the number of observation turned to one,and this situation was especially obvious in AEnKF.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.