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A comparison of atmospheric loading models applied to SLR data

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König,  Rolf
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Dill,  R.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Raimondo,  J.-C.
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Vei,  Margarita
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Zitation

König, R., Dill, R., Raimondo, J.-C., Vei, M. (2016): A comparison of atmospheric loading models applied to SLR data, (Geophysical Research Abstracts, 18, EGU2016-16579, 2016), General Assembly European Geosciences Union (Vienna 2016).


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1503917
Zusammenfassung
We compute displacements of global SLR station coordinates by atmospheric loading based on surface pressure data from European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-interim data. Inhouse we generate two branches: firstly straightforward following Farrel’s theory but using updated load Love numbers, secondly from utilizing localized Green’s functions instead of global ones. Externally provided displacements are available f.i. from the International Mass Loading Service (IMLS) based on different input data and modeling. We compare these displacements and apply them to Satellite Laser Ranging (SLR) data processing of a recent six years period of the LAGEOS, LARES, AJISAI, STARLETTE and STELLA geodetic missions. We assess the impact of the loading models on precise orbit determination and Earth parameters of interest.