One-step method for predicting LOD parameters based on LS+AR model
- 5 June 2019
- journal article
- review article
- Published by Taylor & Francis in Journal of Spatial Science
- Vol. 66 (2) , 317-328
Abstract
This paper proposes a one-step forecasting method based on the LS+AR prediction model that calculates LS and AR model parameters simultaneously. The EOPs products released by the IERS were used as primary data to predict changes in LOD parameters over spans of 1–500 days for 1230 experiments. The experimental results showed that the proposed method has an obvious improvement in long-term LOD parameters prediction accuracy compared with the LS+AR mode. However, limited by the large matrix in the calculation process, the computational efficiency of the proposed method needs to be further improved.Keywords
Funding Information
- National Natural Science Foundation of China (41774005)
This publication has 19 references indexed in Scilit:
- A new LS+AR model with additional error correction for polar motion forecastScience China Earth Sciences, 2013
- Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filterJournal of Geodynamics, 2012
- Earth rotation monitoring, UT1 determination and predictionMetrologia, 2011
- Improved near-term Earth rotation predictions using atmospheric angular momentum analysis and forecastsJournal of Geodynamics, 2005
- Forecasting the polar motions of the deformable EarthAstronomy Reports, 2002
- A Model for the polar motion of the deformable Earth adequate for astrometric dataAstronomy Reports, 2002
- A Kalman-filter-based approach to combining independent Earth-orientation seriesJournal of Geodesy, 1998
- The short‐term prediction of universal time and length of day using atmospheric angular momentumJournal of Geophysical Research, 1994
- The Autocovariance Prediction of the Earth Rotation Parameters1993
- Prediction of polar motionJournal of Geodesy, 1982