Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Konferenzbeitrag

Impact of a priori gravity field models on SLR data processing

Urheber*innen

Geisser,  Linda
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Meyer,  Ulrich
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Arnold,  Daniel
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Jäggi,  Adrian
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in GFZpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Geisser, L., Meyer, U., Arnold, D., Jäggi, A. (2023): Impact of a priori gravity field models on SLR data processing, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3835


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020710
Zusammenfassung
Satellite Laser Ranging (SLR) data can be processed to estimate geodetic parameters, i.e., the Earth Rotation Parameters (ERPs), station coordinates or low-degree spherical harmonic coefficients of the Earth's gravity field. The satellite orbits are determined in 7-day arcs together with geodetic and instrument parameters. However, the quality of these orbits strongly depends on the accuracy of the background models, e.g., the a priori Earth's gravity field. In this study, SLR analyses are validated, where different a priori gravity field models are used. These include static and time-variable products provided by the Center for Space Research (CSR), the International Laser Ranging Service (ILRS) and the Combination Service for Time-variable Gravity Fields (COST-G). The impact of the background models on the SLR data processing is analyzed by comparing the estimated parameters with internal and external quality metrics.