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Application of Grey Model GM(1, 1) to Ultra Short-Term Predictions of Universal Time Cover

Application of Grey Model GM(1, 1) to Ultra Short-Term Predictions of Universal Time

Open Access
|Feb 2016

References

  1. Akyilmaz, O. and Kutterer, H. (2004). Prediction of Earth Rotation Parameters by Fuzzy Inference Systems. Journal of Geodesy, 78(1-2), 82-93.10.1007/s00190-004-0374-5
  2. Deng, J.L. (1986). Grey Forecasting and Decision. Huazhong University of Science and Technology Press, Wuhan, 97-134.
  3. Gambis, D. and Luzum, B. (2011). Earth Rotation Monitoring, UT1 Determination and Prediction. Metrologia, 48(4), 65-170.10.1088/0026-1394/48/4/S06
  4. Gambis, D., Salstein, D.A. and Lambert, L. (2011). Use of Atmospheric Angular Momentum Forecasts for UT1 Predictions: Analyses over CONT08. Journal of Geodesy, 85(7), 435-441.10.1007/s00190-011-0479-6
  5. Gross, R.S., Marcus, S.L., Eubanks, T.M., Dickey, J.O. and Keppenne, C.L. (1996). Detection of an ENSO Signal in Seasonal Length-of-day Variations. Geophysical Research Letters, 23(23), 3373-3376.10.1029/96GL03260
  6. Gross, R.S., Eubanks, T.M., Steppe, J.A., Freedman, A.P., Dickey, J.O. and Runge, T.F. (1998). A Kalman-filter-based Approach to Combining Independent Earth-orientation Series. Journal of Geodesy, 72(4), 215-235.10.1007/s001900050162
  7. Guo, J.Y., Li, Y.B., Dai, C.L. and Shum, C.K. (2013). A Technique to Improve the Accuracy of Earth Orientation Prediction Algorithms Based on Least Squares Extrapolation. Journal of Geodynamics, 70(10), 36-48.10.1016/j.jog.2013.06.002
  8. Kalarus, M., Schuh, H., Kosek, W., Akyilmaz, O. and Bizouard, Ch. (2010). Achievements of the Earth Orientation Parameters Prediction Comparison Campaign. Journal of Geodynamics, 84(10), 587-596.
  9. Kosek, W., McCarthy, D.D. and Luzum, B.J. (1998). Possible Improvement of Earth Orientation Forecast Using Autocovariance Prediction Procedures. Journal of Geodesy, 72(4), 189–199.10.1007/s001900050160
  10. Lei, Y., Zhao, D.N. and Cai, H.B. (2015a). Prediction of Length-of-day Using Extreme Learning Machine. Geodesy and Geodynamics, 6(2): 151-159.10.1016/j.geog.2014.12.007
  11. Lei, Y., Guo, M., Cai, H.B., Hu, D.D. and Zhao, D.N. (2015b). Prediction of Length-of-day Using Gaussian Process Regression. The Journal of Navigation, 68(3): 563-175.10.1017/S0373463314000927
  12. Liao, D.C., Wang, Q.J., Zhou, Y.H., Liao, X.H. and Huang, C.L. (2012). Long-term Prediction of the Earth Orientation Parameters by the Artificial Neural Network Technique. Journal of Geodynamics, 62: 87-92.
  13. Malkin, Z and Skurikhina, E. (1996). On Prediction of EOP. Communications of the Institute of Applied Astronomy RAS, No.93.
  14. Niedzielski, T. and Kosek, W. (2008). Prediction of UT1–UTC, LOD and AAM χ3 by Combination of Least-squares and Multivariate Stochastic Methods. Journal of Geodesy, 82(2), 83–92.10.1007/s00190-007-0158-9
  15. Petit, G. and Luzum, B. (2010). IERS Conventions (2010). IERS Technical Note No. 36, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, 123–131.
  16. Schuh, H., Ulrich, M., Egger, D., Müller, J. and Schwegmann, W. (2002). Prediction of Earth Orientation Parameters by Artificial Neural Networks. Journal of Geodesy, 76(5), 247-258.10.1007/s00190-001-0242-5
  17. Xu, X.Q. and Zhou, Y.H. (2015). EOP Prediction Using Least Square Fitting and Autoregressive Filter over Optimized Data Intervals. Advances in Space Research, in press.10.1016/j.asr.2015.08.007
  18. Zhang, X.H., Wang, Q.J., Zhu, J.J. and Zhang, H. (2012). Application of General Regression Neural Network to the Prediction of LOD Change. Chinese Astronomy and Astrophysics, 36(1), 86-96.10.1016/j.chinastron.2011.12.010
DOI: https://doi.org/10.1515/arsa-2016-0002 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
Language: English
Page range: 19 - 29
Submitted on: Nov 2, 2015
Accepted on: Jan 8, 2016
Published on: Feb 22, 2016
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Yu Lei, Min Guo, Danning Zhao, Hongbing Cai, Dandan Hu, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.