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An influence of wide-band oscillations in pole coordinates caused by atmospheric, ocean and hydrology excitation functions on their prediction errors

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
Studies of the Earth Crust Deformation in Central Europe / Procedings of the Seminar (29-30. 10. 2008; Astro-Geodetic Observatory in Józefosław)
Języki publikacji
EN
Abstrakty
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
37--47
Opis fizyczny
Bibliogr. 30 poz., rys., wykr.
Twórcy
autor
autor
  • Space Research Centre, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
  • 1. AER 2008, ftp://ftp.aer.com/pub/anon_collaborations/sba/.
  • 2. Benedetto J.J. and Frazier M.W., 1994, Mathematics and Applications, LRC Press, Boca Raton, 221-245.
  • 3. Brzeziński A., Kosek W., 2004, Free core nutation: stochastic modelling versus predictibility, Proc. Journées 2003, Systemes de Reference Spatio-Temporels, "Astrometry, geodynamics and Solar system dynamics: from milliarcseconds to microarcseconds", A. Finkelstein and N. Capitaine (eds.), Inst. of Applied Astronomy ofthe Russian Acad. of Sciences, St. Petersburg, 99-106.
  • 4. Brzeziński A., 1992, "Polar motion excitation by variations of the effective angular momentum function: considerations concerning deconvolution problem", Manuscripta Geodaetica, 17, 3-20.
  • 5. Chui C.K., 1992, An Introduction to Wavelets, Wavelet Analysis and its Application Vol. 1, Academic Press, Boston-San Diego.
  • 6. Freedman A.P., Steppe J.A., Dickey J.O., Eubanks T. M., Sung L.Y., 1994, The short-termprediction of universal time and length of day usingatmosphericangular momentum. J. Geophys. Res. 99(B4), 6981–6996.
  • 7. IERS 2008, http://hpiers.obspm.fr/iers/eop/eopc04_05/.
  • 8. Johnson T., Luzum B.J., Ray J.R., 2005, Improved near-term Earth rotation predictions usingatmospheric angular momentum analysis and for ecasts. J. Geodyn.39, 209-221.
  • 9. JPL 2008, http://euler.jpl.nasa.gov/sbo/sbo_data.html.
  • 10. Kalarus M., Kosek W., 2004, Prediction of Earth orientation parameters by artificialneural networks. Artificial Satellites - Journal of Planetary Geodesy. Vol. 39, No2, 175-184.
  • 11. Kalarus M., Luzum B.J., Lambert S. and Kosek W., 2006, Modelling and Prediction of the FCN. Proc. Journées 2005, Systèmes de Référence Spatio-Temporels, 181-184.
  • 12. Kalarus M., Kosek W., Schuh H., 2008, Current results of the Earth Orientation Parameters Prediction Comparison Campaign, Proc. Journées 2007, Systèmes de Référence Spatio-Temporels "The Celestial Reference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, France, 159-162.
  • 13. Kosek W., McCarthy D.D., Luzum B.J., 1998, Possible improvement of Earth orientation forecast using autocovariance prediction procedures, Journal of Geodesy,72, 189-199.
  • 14. Kosek W., McCarthy D.D., Johnson T.J., Kalarus M., 2004, Comparison of polar motion prediction results supplied by the IERS Sub-bureau for Rapid Serviceand Predictions and results of other prediction methods. Proc. Journées 2003, Systèmes de Référence Spatio-Temporels, St. Petersburg, 164-169.
  • 15. Kosek W., Kalarus M., Niedzielski T., 2008, Forecasting of the Earth orientation parameters – comparison of different algorithms, Proc. Journées 2007, Systèmes de Référence Spatio-Temporels "The Celestial Reference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, France, 155-158.
  • 16. McCarthy D.D., Luzum B.J., 1991, Prediction of Earth orientation. Bull. Geod., 65, 18–22.
  • 17. Nastula J., Kolaczek B., Salstein D., 2007, Comparison of hydrological and GRACE-based excitation functions of polar motion in the seasonal spectral band, Proc. Journées 2007, Systèmes de Référence Spatio-Temporels "The Celestial Reference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, France, 220-221.
  • 18. NCEP 2008, ftp://ftp.csr.utexas.edu/pub/ggfc/water/NCEP.
  • 19. Niedzielski T., Kosek W., 2007, Prediction of UT1–UTC, LOD and AAMχ3 by combination of least-squares and multivariate stochastic methods, Journal of Geodesy, DOI 10.1007/s00190-007-0158-9.
  • 20. Popiński W., Kosek W., 1995. Discrete Fourier and Wavelet Transforms in Analysis of Earth Rotation Parameters. Proc. Journées 1995, Systèmes de Référence Spatio-Temporels, Warsaw, Poland, Sep. 18-20, 1995, 121-124.
  • 21. Popiński W., Kosek W., Schuh H., Schmidt M., 2002, Comparison of the two wavelet transform coherence and cross-covariance functions applied on polar motionand atmospheric excitation, Studia Geophysica et Geodaetica, 46, No 3, 455-468.
  • 22. Schmitz-Hübsch H., Schuh H., 1999, Seasonal and Short-Period Fluctuations of Earth Rotation Investigated by Wavelet Analysis, Technica l Report Nr. 1999.6-1, Department of Geodesy and Geoinformatics, Universität Stuttgart : ”Quo vadis Geodesia ...?”, Festschrift for Erik W. Grafarend on the occasion ofhis 60th birthday, F. Krumm, V.S. Schwarze (Eds), 421-431.
  • 23. Schuh H., Ulrich M., Egger D., Mueller J., Schwegmann W., 2002, Prediction of Earth orientation parameters by artificial neural networks, Journal of Geodesy 76, 247-258.
  • 24. Stamatakos N., Luzum B., Wooden W., 2008, Recent improvements in IERS Rapid Service Prediction Centre Products. Proc. Journées 2007, Systèmes deRéférence Spatio-Temporels "The Celestial Reference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, France, 163-166.
  • 25. USNO 2007, http://maia.usno.navy.mil/ser7/archive.notes.
  • 26. Van Milligen B. Ph., 1999, Wavelets, non-linearity and turbulence in fusion plasmas, in Wavelets in Physics, J.C. Van Den Berg (ed.), Cambridge UniversityPress, 227-262.
  • 27. Wooden W.H., T.J. Johnson, P.C. Kammeyer, M.S. Carter, A.E. Myers, 2005, Determination and prediction of UT1 at the IERS Rapid Service/Prediction Center.Proc. Journées 2004, Systèmes de Référence Spatio-Temporels, N Capitaine (eds.), Observatoirede Paris Systemes de Reference Temps-Espace UMR8630/CNRS, 260-264.
  • 28. Wooden W.H., van Dam T., Kosek W., 2006, IERS Working Group on Prediction Plansand Activities, EOS Trans. AGU, 87(52), Fall Meet. Suppl., Abstract G43A-0988.
  • 29. Wooden W.H., 2008a, Activities of the IERS Working Group on Prediction. Proc. Journées 2007, Systèmes de Référence Spatio-Temporels "The CelestialReference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, FRANCE, 145-150.
  • 30. Wooden W., 2008b, Summary of the discussion on theprediction of Earth Orientation Parameters. Proc. Journées 2007, Systèmes de Référence Spatio-Temporels "The Celestial Reference Frame for the Future". N. Capitaine (eds.), Observatoire de Paris Systèmes de Référence Temps-Espace UMR8630/CNRS, Paris, 273-273
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWAB-0002-0021
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