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B. Luzum

Future of Earth Orientation Predictions

Earth orientation prediction has undergone a number of changes over the last few decades in response to changing conditions in the Earth orientation parameter user community. However, considering the recent pace of change, it is likely that the rate at which innovations are introduced into the prediction process will increase. Potential drivers for change are discussed and possible directions for change are outlined.

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Z. Malkin

References Kalarus M., Schuh H., Kosek W., Akyilmaz O., Bizouard Ch., Gambis D., Gross R., Kumakshev S., Kutterer H., Mendes Cerveira P. J., Pasynok S., Zotov L., Achievements of the Earth orientation parameters prediction comparison campaign. J. Geodesy , Vol. 84, 587-596. Luzum B., Wooden W., McCarthy D., Schuh H., Kosek W., Kalarus M., (2007). Ensemble Prediction for Earth Orientation Parameters, Geophysical Research Abstracts , Vol. 9, EGU2007-A-04315. Malkin Z. (2009

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T. Niedzielski, A. Sen and W. Kosek

) Transformation to Normality of the Null Distribution of G1, Biometrika , 57, 679-681. Eubanks T.M. (1993) Variations in the Orientation of the Earth, Contributions of Space Geodesy to Geodynamics: Earth Dynamics , Smith D.E., Turcotte D.L. (eds), AGU Geodynamics Series, 1-54. Freedman A.P., Steppe J.A., Dickey J.O., Eubanks T.M., Sung L.Y. (1994) The shortterm prediction of universal time and length of day using atmospheric angular momentum, Journal of Geophysical Research , 99 (B4), 6981

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W. Kosek, B. Luzum, M. Kalarus, A. Wnęk and M. Zbylut

References Bizouard C and D. Gambis, 2009, The combined solution C04 for Earth Orientation Parameters, recent improvements, Springer Verlag series, Series International Association of Geodesy Symposia, Vol. 134 Drewes, Hermann (Ed.), 265-270. Freedman, A. P., J. A. Steppe, J. O. Dickey, T. M. Eubanks, and L.-Y. Sung, 1994, The short-term prediction of universal time and length of day using atmospheric angular momentum, J. Geophys. Res., 99, 6981-6996. Gambis D., 2004, Monitoring

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S. Nistor and A. S. Buda

Geodetic VLBI System . Nilsson, Tobias, Robert Heinkelmann, Maria Karbon, Virginia Raposo-Pulido, Benedikt Soja, and Harald Schuh. 2014. “Earth Orientation Parameters Estimated from VLBI during the CONT11 Campaign.” Journal of Geodesy 88 (5): 491–502. doi:10.1007/s00190-014-0700-5. Petrachenko, W. T., H. Schuh, A. E. Niell, D. Behrend, and B. E. Corey. 2010. “VLBI2010: Next Generation VLBI System for Geodesy and Astrometry.” American Geophysical Union . . Petrachenko, B., A. Niell, D. Behrend, B

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Agata Wielgosz, Monika Tercjak and Aleksander Brzeziński

., Heinkelmann, R., Karbon, M., Raposo-Pulido, V., Soja, B., & Schuh, H. (2014). Earth orientation parameters estimated from VLBI during the CONT11 campaign. Journal of Geodesy, 88(5), 491-502. doi: 10.1007/s00190-014-0700-5 Petit, G., & Luzum, B. (Eds.). (2010). IERS Conventions (2010). IERS Technical Note 36, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, Germany. Petrachenko, W., Behrend, D., Hase, H., Ma, C., Niell, A., Schuh, H., & Whitney, A. (2013). The VLBI2010 Global Observing System (VGOS). In EGU General

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Lei Yu, Danning Zhao and Hongbing Cai

., Eubanks TM., Steppe JA., Freedman AP., Dickey JO. and Runge TF. (1998) A Kalman-filter-based approach to combining independent Earth-orientation series. Journal of Geodesy, Vol. 72, No. 4, 1998, pp. 215-235. Huang GB., Zhu QY. and Siew CK. (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. Proceedings of 2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, pp. 985-990. Huang GB., Zhu QY. and Siew CK. (2006) Extreme learning machine: theory and applications, Neurocomputing, Vol. 70, No. 1-3, 2006, pp. 489

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A. Wielgosz, A. Brzeziński and S. Böhm

REFERENCES Artz, T., Tesmer née Böckmann, S., Nothnagel, A. (2011) Assessment of periodic subdiurnal Earth rotation variations at tidal frequencies through transformation of VLBI normal equation systems, Journal of Geodesy , Vol. 86(9), 565-584. Böhm J., Böhm S., Nilsson T., Pany A., Plank L., Spicakova H., Teke, K., Schuh, H. (2012a) The new Vienna VLBI Software VieVS, Proc. of IAG Scientific Assembly 2009, International Association of Geodesy Symposia Series , Vol. 136, 1007-1011. Böhm S., Brzeziński A., Schuh H. (2012b) Complex demodulation

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Victor Tissen, Alexander Tolstikov and Zinovy Malkin

References Akulenko L. D., Kumakshev S. A., Markov Yu.G., and Rykhlova L. V. (2002). Forecasting the Polar Motions of the Deformable Earth. Astronomy Reports , Vol. 46, 858-865. IERS (2001-2009). IERS Annual Reports 2000-2007 , Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main. Lambeck K. (1980). The Earth's Variable Rotation: Geophysical causes and consequences. Cambridge Univ. Press. Luzum B, Nothnagel A. (2010). Improved UT1