ON THE ISSUES OF ESTIMATING THE ACCURACY OF EARTH ROTATION PARAMETERS
Section: CELESTIAL MECHANICS AND ASTROMETRY
Authors:
1.
Institute of Applied Astronomy of the Russian Academy of Sciences
2.
Institute of Applied Astronomy of the Russian Academy of Sciences
3.
Institute of Applied Astronomy of the Russian Academy of Sciences
Type:
Сonference article
Published:
27.12.2024
Subject area:
UDC 52
UDC 53
UDC 520
UDC 521
UDC 523
UDC 524
UDC 52-1
UDC 52-6
CSCSTI 41.00
CSCSTI 29.35
CSCSTI 29.31
CSCSTI 29.33
CSCSTI 29.27
CSCSTI 29.05
Russian Classification of Professions by Education 03.06.01
Russian Classification of Professions by Education 03.05.01
Russian Classification of Professions by Education 03.04.03
Russian Library and Bibliographic Classification 2
Russian Library and Bibliographic Classification 223
Russian Trade and Bibliographic Classification 614
Russian Trade and Bibliographic Classification 6135
BISAK SCI004000 Astronomy
BISAK SCI005000 Physics / Astrophysics
UDC 53
UDC 520
UDC 521
UDC 523
UDC 524
UDC 52-1
UDC 52-6
CSCSTI 41.00
CSCSTI 29.35
CSCSTI 29.31
CSCSTI 29.33
CSCSTI 29.27
CSCSTI 29.05
Russian Classification of Professions by Education 03.06.01
Russian Classification of Professions by Education 03.05.01
Russian Classification of Professions by Education 03.04.03
Russian Library and Bibliographic Classification 2
Russian Library and Bibliographic Classification 223
Russian Trade and Bibliographic Classification 614
Russian Trade and Bibliographic Classification 6135
BISAK SCI004000 Astronomy
BISAK SCI005000 Physics / Astrophysics
Language:
English
Keywords:
Earth: rotation; methods: observational, statistical
Abstract (English):
Earth rotation parameters (ERP) are determined at the Institute of Applied Astronomy (IAA) by processing the following types of observations: Very Long Baseline Interferometry (VLBI), Global Navigation Satellite Systems (GNSS) and Satellite Laser Ranging (SLR). The IAA also carries out special sessions of VLBI observations on radio telescopes of the Quasar network for ERP determination in various modes. The accuracy of the obtained series is estimated by comparison with the combined results of the International Earth Rotation and Reference Systems Service (IERS) usually accepted as reference. The accuracy of various ERP series has been analyzed also using a method based on the assumption that there can be no abrupt changes in ERP and after removing the intra-day variations the series should be sufficiently smooth. In this method the evaluation is performed without calculating the differences of two independent series and is related only to the internal properties of the series. The article presents an overview of the results of the analysis and concludes that the proposed technique can be used to estimate the accuracy of the ERP series.
Earth rotation parameters (ERP) are determined at the Institute of Applied Astronomy (IAA) by processing the following types of observations: Very Long Baseline Interferometry (VLBI), Global Navigation Satellite Systems (GNSS) and Satellite Laser Ranging (SLR). The IAA also carries out special sessions of VLBI observations on radio telescopes of the Quasar network for ERP determination in various modes. The accuracy of the obtained series is estimated by comparison with the combined results of the International Earth Rotation and Reference Systems Service (IERS) usually accepted as reference. The accuracy of various ERP series has been analyzed also using a method based on the assumption that there can be no abrupt changes in ERP and after removing the intra-day variations the series should be sufficiently smooth. In this method the evaluation is performed without calculating the differences of two independent series and is related only to the internal properties of the series. The article presents an overview of the results of the analysis and concludes that the proposed technique can be used to estimate the accuracy of the ERP series.
Keywords:
Earth: rotation; methods: observational, statistical
Earth: rotation; methods: observational, statistical
1. Gayazov I.S., Gubanov V.S., Kurdubov S.L., et al., 2016, Transactions of IAA RAS, 39, p. 23
2. Ivanov D., Ipatov I., Marshalov D., et al., 2022, IVS 2022 General Meeting Proceedings, ed. Armstrong K.L., Behrend D., Baver K.D., NASA/CP-20220018789, p. 37
3. Kurdubov S.L. and Skurikhina E.A., 2021, Transactions of IAA RAS., 57, p. 23
