A 900-day sliding window plus bivariate least squares fitting yields lower MAE for celestial pole offset forecasts than prior competition entries and IERS daily files.
Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets
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Prediction of Celestial Pole Offsets Based on Sliding Window and Bivariate Least Squares Fitting
A 900-day sliding window plus bivariate least squares fitting yields lower MAE for celestial pole offset forecasts than prior competition entries and IERS daily files.