利用LS+AR模型和激发函数预报地球自转参数

Prediction of Earth Rotation Parameters Using LS+AR Model and Excited Functions

分别采用LS+AR组合模型和包含大气角动量、海洋角动量的流体激发函数对地球自转参数进行长期预报。数值实验表明,激发函数预报精度优于LS+AR组合模型,其中大气角动量激发函数预报精度优于海洋角动量激发函数。

The long term prediction of Earth rotation parameters were performed by using LS＋AR combing model, fluid excitation functions including atmospheric angular momentum and ocean angular momentum, respectively. Numerical tests showed that the prediction precision computed from fluid excitation functions was better than those from LS＋AR combing model, and the prediction precision from atmospheric angular mo mentum excitation function was better than those from ocean angular momentum.