Employing combination procedures to short-time EOP prediction

TL;DR

This paper explores combining multiple analysis techniques to improve ultra-short-term Earth Orientation Parameters prediction accuracy, addressing the variability in optimal strategies over different time spans.

Contribution

It introduces a combination approach for EOP prediction that adapts to different time intervals, enhancing accuracy for ultra-short-term forecasts.

Findings

Combination strategies outperform individual methods in ultra-short-term EOP prediction.

The approach adapts to different prediction intervals, maintaining high accuracy.

Effective for real-time applications requiring rapid EOP updates.

Abstract

A well known problem with Earth Orientation Parameters (EOP) prediction is that a prediction strategy proved to be the best for some testing time span and prediction length may not remain the same for other time intervals. In this paper, we consider possible strategies to combine EOP predictions computed using different analysis techniques to obtain a final prediction with the best accuracy corresponding to the smallest prediction error of input predictions. It was found that this approach is most efficient for ultra-short-term EOP forecast.