Application of Prony’s Method for Predicting the Earth Rotation Parameters

The research paper explores the feasibility of employing the Prony parametric approximation technique for predicting time series data, with a particular emphasis on Earth rotation parameters. These parameters encompass the angular displacement of the Earth’s pole axis, which are pivotal for comprehending and forecasting the Earth’s rotation. The study utilizes a dataset that includes these specific parameters to evaluate the Prony method’s effectiveness in forecasting. The outcomes of this method’s application, which vary based on the algorithm’s parameters, are thoroughly examined. This examination not only illuminates the method’s predictive capabilities but also investigates how different parameter settings impact forecast accuracy. The findings underscore the Prony method’s potential as a valuable instrument in the realm of time series forecasting, especially in the context of Earth rotation studies. This investigation contributes to a deeper understanding of time series analysis techniques and their applications in geophysics and related fields. The paper further discusses the implications of these findings for both theoretical and practical applications in Earth sciences. The research also highlights the importance of further studies to optimize the Prony method’s parameters for maximum forecast accuracy. This could pave the way for more precise predictions in geophysical phenomena, benefiting a wide range of scientific and technological endeavors.