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Improved Prediction of Polar Motions by Piecewise Parameterization Cover

Improved Prediction of Polar Motions by Piecewise Parameterization

By: Yuanwei Wu,  Xin Zhao and  Xinyu Yang  
Open Access
|Jan 2023

Figures & Tables

Figure 1.

Flowchart for EOP prediction of Dill2019 method

Figure 2.

The transformed X (left panel) and Y (right panel) components of GAM, ESMGFZ EAM, and differences between GAM and EAM

Figure 3.

Correlation between GAM and EAM. Left panel: the X component; right panel: the Y component.

Figure 4.

Piecewise continusous least squares fit of GAM-EAM (upper panels), and full GAM series (lower panels), with left panels for x component and right panels for y component. Blue lines denote data, red lines show the LS fittig results, grey lines are the LS fit residuals.

Figure 5.

Mean absolute error (MAE) of prediction of polar motion x (left panels) and y (right panels) for different parameter choices for AR. Upper panels are predictions within 6 days and lower panels are predictions within 7-90 days.

Figure 6.

Absolute difference between polar motions series of IERS EOP C04 and our predition up to 90 days

Figure 7.

Comparing the MAE of our 90-day prediction with the MAE of IERS bulletin A 90-day prediction

Best autoregressive parameters for prediction of PMX

Future dayp for PMXp for PMYlag for PMXlag for PMY
1-26060515
3-66060115
7-1018181616
11-13, 37-38, 41-428822
145311
15-20, 24, 28-292311
21-23, 25-27, 304422
31-3451911
35-36,39-406622
43-57, 65-758833
58, 62-6420201818
59-6119191717
75-90101066

Best autoregressive parameters for prediction of PMY

Future dayp for PMXp for PMYlag for PMXlag for PMY
1-6191911
719191717
8-1120201818
126622
13-14,16-67,73-904422
153211
68-728822

PM prediction errors (MAE) at different future days

1 days5 days10 days20 days40 days60 days90 days
PMX forecast of this paper (milli arcsec)0.301.042.744.577.6210.5813.78
PMX forecast of IERS (milli arcsec)0.311.562.934.957.089.5111.57
PMX forecast error reduction (%)2.6232.986.597.74−7.67−11.23−19.07
PMY forecast of this paper (milli arcsec)0.190.541.462.103.313.975.60
PMY forecast of IERS (milli arcsec)0.241.071.762.624.425.287.89
PMY forecast error Reduction (%)20.7748.9817.5320.0525.1324.9728.93
DOI: https://doi.org/10.2478/arsa-2022-0025 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
Language: English
Page range: 290 - 299
Submitted on: Jul 1, 2022
Accepted on: Dec 9, 2022
Published on: Jan 5, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Yuanwei Wu, Xin Zhao, Xinyu Yang, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.