The IERS EOP 14C04 solution for Earth orientation parameters consistent with ITRF 2014
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The Earth Orientation Center of the International Earth Rotation and Reference Systems Service (IERS) has the task to provide the scientific community with the international reference time series of Earth orientation parameters (EOP), referred to as IERS EOP C04 or C04. These series result from a combination of operational EOP series derived from VLBI, GNSS, SLR, and DORIS. The C04 series were updated to provide EOP series consistent with the set of station coordinates of the ITRF 2014. The new C04, referred to as IERS EOP 14C04, is aligned onto the most recent versions of the conventional reference frames (ITRF 2014 and ICRF2). Additionally, the combination algorithm was revised to include an improved weighting of the intra-technique solutions. Over the period 2010–2015, differences to the IVS combination exhibit standard deviations of 40 \(\upmu \)as for nutation and 10 \(\upmu \)s for UT1. Differences to the IGS combination reveal a standard deviation of 30 \(\upmu \)as for polar motion. The IERS EOP 14C04 was adopted by the IERS directing board as the IERS reference series by February 1, 2017.
KeywordsEarth rotation Space and geodetic techniques Combination
The authors are grateful to N. Stamatakos and Z. Altamimi for their validation and analyses of the 14C04 solution; to D. Gambis, C. Hackman, J. Ray, Z. Malkin, E. Pavlis, and A. Nothnagel for their useful comments. This work was financially supported by CNES, through the TOSCA program, and by the Scientific Council of the Paris Observatory.
- Bar-Sever Y, Russ KM (1997) New and improved solar radiation models for GPS satellites based on flight data. JPL Final Report (RF-182/808), 30 pGoogle Scholar
- Bizouard C (2018) Geophysical modelling of the polar motion. http://www.degruyter.com/view/product/185549
- Bizouard C, Gambis D (2009) The combined solution C04 for Earth orientation parameters consistent with International Terrestrial Reference Frame 2005. In: geodetic reference frames: IAG symposium Munich, Germany, 9–14 October 2006. Springer, Berlin, pp 265–270. https://doi.org/10.1007/978-3-642-00860-341
- Gipson J (2007) Incorporating correlated station dependent noise improves VLBI estimates. In: Proceeding of the 18th European VLBI for geodesy and astrometry working meeting, Vienna, pp 12–13Google Scholar
- IDS, International DORIS Service (2018). https://ids-doris.org
- Kalarus M, Schuh H, Kosek W, Akyilmaz O, Bizouard C, Gambis D, Gross R, Jovanović B, Kumakshev S, Kutterer H, Mendes Cerveira PJ, Pasynok S, Zotov L (2010) Achievements of the Earth orientation parameters prediction comparison campaign. J Geod 84:587–596. https://doi.org/10.1007/s00190-010-0387-1 CrossRefGoogle Scholar
- Petit G, Luzum B (2010) IERS conventions 2010. IERS Technical Note 36. Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, p 179Google Scholar
- Plag H-P, Beutler G, Gross R, Herring TA, Poli P, Rizos C, Rothacher M, Rummel R, Sahagian D, Zumberge J (2009) Recommendations. In: Plag H-P, Michael P (eds) Global geodetic observing system: meeting the requirements of a global society on a changing planet in 2020, pp 283–291. https://doi.org/10.1007/978-3-642-2687-4_11
- Vondrák J (1969) A contribution to the problem of smoothing observational data. Bull Astron Inst Czechoslov 349:20Google Scholar
- Willis P, Fagard H, Ferrage P, Lemoine FG, Noll CE, Noomen R, Otten M, Ries JC, Rothacher M, Soudarin L, Tavernier G, Valette J-J (2010) The international DORIS service (IDS): toward maturity, DORIS: scientific applications in geodesy and geodynamics. Adv Space Res 12(45):1408–1420. https://doi.org/10.1016/j.asr.2009.11.018 CrossRefGoogle Scholar