Earth rotation parameter estimation from LLR

Vishwa Vijay Singh; Liliane Biskupek; Jürgen Müller; Mingyue Zhang

doi:10.1016/j.asr.2022.07.038

Earth rotation parameter estimation from LLR

Vishwa Vijay Singh
, Liliane Biskupek
, Jürgen Müller
, Mingyue Zhang

DLR-Institute for Satellite Geodesy and Inertial Sensing

Research output: Contribution to journal › Article › Research › peer review

Abstract

LLR measures the distance between observatories on Earth and retro-reflectors on Moon since 1969. In this paper, we estimate the Earth Rotation Parameters (ERP; terrestrial pole offsets, xp and yp, and Earth rotation phase, ΔUT) using LLR data. We estimate the values of ΔUT, and the pole offsets separately. For the pole offsets, we estimate the values of xp and yp together and separately. Overall, the uncertainties of ERP from the new LLR data (after 2000.0) have significantly improved, staying less than 20 μs for ΔUT, less than 2.5 mas for xp, and less than 3 mas for yp for nights selected from subsets of the LLR time series which have 10 and 15 normal points obtained per night. Furthermore, we add the non-tidal loading effect provided by the IMLS, as observation level corrections of the LLR observatories in the analysis. This effect causes deformations of the Earth surface up to the centimetre level. Its addition in the Institute of Geodesy (IfE) LLR model, leads to a marginal improvement in the uncertainties (3-σ values) of about 1% for both, ΔUT and the pole offsets.

Original language	English
Pages (from-to)	2383-2398
Number of pages	16
Journal	Advances in Space Research
Volume	70
Issue number	8
E-pub ahead of print	22 Jul 2022
DOIs	https://doi.org/10.1016/j.asr.2022.07.038
Publication status	Published - 15 Oct 2022

Keywords

Earth rotation parameters
Lunar laser ranging
Non-tidal loading

ASJC Scopus subject areas

Aerospace Engineering
Astronomy and Astrophysics
Geophysics
Atmospheric Science
Space and Planetary Science
General Earth and Planetary Sciences

Access to Document

10.1016/j.asr.2022.07.038Licence: CC BY-ND 4.0

https://arxiv.org/abs/2110.14274Licence: CC BY-NC-ND 4.0

Cite this

@article{c83ffcd038334603b36374d8c926de59,

title = "Earth rotation parameter estimation from LLR",

abstract = "LLR measures the distance between observatories on Earth and retro-reflectors on Moon since 1969. In this paper, we estimate the Earth Rotation Parameters (ERP; terrestrial pole offsets, xp and yp, and Earth rotation phase, ΔUT) using LLR data. We estimate the values of ΔUT, and the pole offsets separately. For the pole offsets, we estimate the values of xp and yp together and separately. Overall, the uncertainties of ERP from the new LLR data (after 2000.0) have significantly improved, staying less than 20 μs for ΔUT, less than 2.5 mas for xp, and less than 3 mas for yp for nights selected from subsets of the LLR time series which have 10 and 15 normal points obtained per night. Furthermore, we add the non-tidal loading effect provided by the IMLS, as observation level corrections of the LLR observatories in the analysis. This effect causes deformations of the Earth surface up to the centimetre level. Its addition in the Institute of Geodesy (IfE) LLR model, leads to a marginal improvement in the uncertainties (3-σ values) of about 1\% for both, ΔUT and the pole offsets.",

keywords = "Earth rotation parameters, Lunar laser ranging, Non-tidal loading",

author = "Singh, \{Vishwa Vijay\} and Liliane Biskupek and J{\"u}rgen M{\"u}ller and Mingyue Zhang",

note = "Funding information: Current LLR data are collected, archived, and distributed under the auspices of the International Laser Ranging Service (ILRS) (Pearlman et al. 2019). We acknowledge with thanks that the processed LLR data, since 1969, has been obtained under the efforts of the personnel at the Observatoire de la C{\^o}te d'Azur in France, the LURE Observatory in Maui, Hawaii, the McDonald Observatory in Texas, the Apache Point Observatory in New Mexico, the Matera Laser Ranging observatory in Italy, and the Wettzell Laser Ranging System in Germany. This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC 2123 QuantumFrontiers, Project-ID 390837967. We would additionally like to thank Franz Hofmann for his contributions to LUNAR.",

year = "2022",

month = oct,

day = "15",

doi = "10.1016/j.asr.2022.07.038",

language = "English",

volume = "70",

pages = "2383--2398",

journal = "Advances in Space Research",

issn = "0273-1177",

publisher = "Elsevier Ltd.",

number = "8",

}

TY - JOUR

T1 - Earth rotation parameter estimation from LLR

AU - Singh, Vishwa Vijay

AU - Biskupek, Liliane

AU - Müller, Jürgen

AU - Zhang, Mingyue

N1 - Funding information: Current LLR data are collected, archived, and distributed under the auspices of the International Laser Ranging Service (ILRS) (Pearlman et al. 2019). We acknowledge with thanks that the processed LLR data, since 1969, has been obtained under the efforts of the personnel at the Observatoire de la Côte d'Azur in France, the LURE Observatory in Maui, Hawaii, the McDonald Observatory in Texas, the Apache Point Observatory in New Mexico, the Matera Laser Ranging observatory in Italy, and the Wettzell Laser Ranging System in Germany. This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC 2123 QuantumFrontiers, Project-ID 390837967. We would additionally like to thank Franz Hofmann for his contributions to LUNAR.

PY - 2022/10/15

Y1 - 2022/10/15

N2 - LLR measures the distance between observatories on Earth and retro-reflectors on Moon since 1969. In this paper, we estimate the Earth Rotation Parameters (ERP; terrestrial pole offsets, xp and yp, and Earth rotation phase, ΔUT) using LLR data. We estimate the values of ΔUT, and the pole offsets separately. For the pole offsets, we estimate the values of xp and yp together and separately. Overall, the uncertainties of ERP from the new LLR data (after 2000.0) have significantly improved, staying less than 20 μs for ΔUT, less than 2.5 mas for xp, and less than 3 mas for yp for nights selected from subsets of the LLR time series which have 10 and 15 normal points obtained per night. Furthermore, we add the non-tidal loading effect provided by the IMLS, as observation level corrections of the LLR observatories in the analysis. This effect causes deformations of the Earth surface up to the centimetre level. Its addition in the Institute of Geodesy (IfE) LLR model, leads to a marginal improvement in the uncertainties (3-σ values) of about 1% for both, ΔUT and the pole offsets.

AB - LLR measures the distance between observatories on Earth and retro-reflectors on Moon since 1969. In this paper, we estimate the Earth Rotation Parameters (ERP; terrestrial pole offsets, xp and yp, and Earth rotation phase, ΔUT) using LLR data. We estimate the values of ΔUT, and the pole offsets separately. For the pole offsets, we estimate the values of xp and yp together and separately. Overall, the uncertainties of ERP from the new LLR data (after 2000.0) have significantly improved, staying less than 20 μs for ΔUT, less than 2.5 mas for xp, and less than 3 mas for yp for nights selected from subsets of the LLR time series which have 10 and 15 normal points obtained per night. Furthermore, we add the non-tidal loading effect provided by the IMLS, as observation level corrections of the LLR observatories in the analysis. This effect causes deformations of the Earth surface up to the centimetre level. Its addition in the Institute of Geodesy (IfE) LLR model, leads to a marginal improvement in the uncertainties (3-σ values) of about 1% for both, ΔUT and the pole offsets.

KW - Earth rotation parameters

KW - Lunar laser ranging

KW - Non-tidal loading

UR - https://www.scopus.com/pages/publications/85136143893

U2 - 10.1016/j.asr.2022.07.038

DO - 10.1016/j.asr.2022.07.038

M3 - Article

SN - 0273-1177

VL - 70

SP - 2383

EP - 2398

JO - Advances in Space Research

JF - Advances in Space Research

IS - 8

ER -

Earth rotation parameter estimation from LLR

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

QuantumFrontiers: Cluster of Excellence 2123/1: Light and Matter at the Quantum Frontier

Earth Rotation Parameters from LLR with NPs for timespan 1970 - 2021

Cite this

Earth rotation parameter estimation from LLR

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Projects

QuantumFrontiers: Cluster of Excellence 2123/1: Light and Matter at the Quantum Frontier

Datasets

Earth Rotation Parameters from LLR with NPs for timespan 1970 - 2021

Cite this