对钱德勒参数进行时变修正的CLS+AR模型在极移预测中的应用

Application of CLS+AR Model Polar Motion to Prediction Based on Time-Varying Parameters Correction of Chandler Wobble

摘要: 根据LS模型参数中钱德勒项的时变性质,提出了基于钱德勒参数时变修正的CLS模型,并用CLS+AR对极移进行预测。实验结果表明,CLS+AR模型在极移预测精度上较LS+AR模型有较大改善。

Abstract: According to the time variant characteristic of Chandler wobble(CW) in LS model,we put forward a new CLS model based on correction of time variant parameters of the CW.We use the CLS+AR model to predict polar motion.The model-building is discussed in detail,and the prediction accuracy of CLS+AR model is compared with LS+AR model and other models.The results show significant improvement of the prediction accuracy of the CLS+AR model in comparison with the LS+AR model,and this proves the effectiveness and the superiority of the new model.