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Loading-Induced Deformation Due to Atmosphere, Ocean and Hydrology: Model Comparisons and the Impact on Global SLR, VLBI and GNSS Solutions

Roggenbuck, Ole and Thaller, Daniela and Engelhardt, Gerald and Franke, S. and Dach, Rolf and Steigenberger, Peter (2017) Loading-Induced Deformation Due to Atmosphere, Ocean and Hydrology: Model Comparisons and the Impact on Global SLR, VLBI and GNSS Solutions. In: REFAG 2014, 146, pp. 71-77. Springer. REFAG 2014, 2014-10-13 - 2014-10-17, Kirchberg, Luxembourg. doi: 10.1007/1345_2015_214. ISBN 978-3-319-45628-7. ISSN 0939-9585.

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Abstract

Precise measurements of the Earth’s shape, gravity field, and rotation provide critical data for many geoscientific disciplines. In order to obtain reliable data, an accurate, stable, and global reference frame is required. The International Terrestrial Reference Frame, where station positions are modeled linearly, is commonly used throughout the geoscientific community for this purpose. Mass redistribution in the geophysical fluids, namely atmosphere, oceanic, and continental hydrology, cause time dependent variations in station coordinates, and other parameters such as the geocenter coordinates. Tidally-induced loading is described in the IERS Conventions. Models for non-tidal loading are available through the Global Geophysical Fluid Center. An overview of these models is given and comparisons were carried out. Within these comparisons, the best agreement was observed between the two atmospheric models, whereas the biggest discrepancies were found between the hydrology models. The processing setup for the Very Long Baseline Interferometry (VLBI), Satellite Laser Ranging (SLR) and Global Navigation Satellite Systems (GNSS) solutions is described, with loading displacement values introduced at the observation level. By using of non-tidal loading models the RMS of the height is reduced for 93% of the GNSS stations, with a max. reduction of 50%. The model impact on the station height in Wettzell derived by GNSS, SLR and VLBI shows a good agreement. In SLR results the Blue-Sky effect is visible. Applying the loading models reduced the seasonal variations visible in the geocenter time series derived by SLR almost completely.

Item URL in elib:https://elib.dlr.de/112090/
Document Type:Conference or Workshop Item (Speech)
Title:Loading-Induced Deformation Due to Atmosphere, Ocean and Hydrology: Model Comparisons and the Impact on Global SLR, VLBI and GNSS Solutions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Roggenbuck, OleBKGUNSPECIFIEDUNSPECIFIED
Thaller, DanielaBKGUNSPECIFIEDUNSPECIFIED
Engelhardt, GeraldBKGUNSPECIFIEDUNSPECIFIED
Franke, S.BKGUNSPECIFIEDUNSPECIFIED
Dach, RolfAIUBUNSPECIFIEDUNSPECIFIED
Steigenberger, PeterDLR/GSOChttps://orcid.org/0000-0003-1905-6699139009451
Date:2017
Journal or Publication Title:REFAG 2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:146
DOI:10.1007/1345_2015_214
Page Range:pp. 71-77
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
van Dam, TonieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Springer
Series Name:International Association of Geodesy Symposia
ISSN:0939-9585
ISBN:978-3-319-45628-7
Status:Published
Keywords:Geophysical models; Loading displacement; Space geodetic techniques; Terrestrial reference frame
Event Title:REFAG 2014
Event Location:Kirchberg, Luxembourg
Event Type:international Conference
Event Start Date:13 October 2014
Event End Date:17 October 2014
Organizer:IAG
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben Infrastruktur und Unterstützung für Raumflugbetrieb (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training
Space Operations and Astronaut Training > Space Flight Technology
Deposited By: Steigenberger, Peter
Deposited On:03 May 2017 10:58
Last Modified:04 Jun 2024 12:36

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