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The 2011 Mw 9.0 Tohoku Earthquake: Comparison of GPS and Strong‐Motion Data

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Wang,  R.
2.1 Physics of Earthquakes and Volcanoes, 2.0 Physics of the Earth, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
GEOFON, Deutsches GeoForschungsZentrum;

/persons/resource/parolai

Parolai,  Stefano
EWS Centre for Early Warning, Geoengineering Centres, GFZ Publication Database, Deutsches GeoForschungsZentrum;
GEOFON, Deutsches GeoForschungsZentrum;

/persons/resource/maor

Ge,  Maorong
1.1 GPS/GALILEO Earth Observation, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
GEOFON, Deutsches GeoForschungsZentrum;

Ji,  M.
External Organizations;
GEOFON, Deutsches GeoForschungsZentrum;

/persons/resource/twalter

Walter,  T. R.
2.1 Physics of Earthquakes and Volcanoes, 2.0 Physics of the Earth, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
GEOFON, Deutsches GeoForschungsZentrum;

/persons/resource/zschau

Zschau,  Jochen
2.1 Physics of Earthquakes and Volcanoes, 2.0 Physics of the Earth, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
GEOFON, Deutsches GeoForschungsZentrum;

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Zitation

Wang, R., Parolai, S., Ge, M., Ji, M., Walter, T. R., Zschau, J. (2013): The 2011 Mw 9.0 Tohoku Earthquake: Comparison of GPS and Strong‐Motion Data. - Bulletin of the Seismological Society of America, 103, 1336-1347.
https://doi.org/10.1785/0120110264


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_247080
Zusammenfassung
Near‐field ground‐motion data are available in semi‐real time either from modern strong‐motion or continuous Global Positioning System (GPS) networks, allowing robust solutions for earthquake source parameters, which are useful for rapid disaster assessment and early warning. These wide applications require the ground‐motion data to cover a very broad frequency band that, however, is usually not available. This paper presents a case study on the 2011 Mw 9.0 Tohoku earthquake, showing how the ground‐motion information from geodetic and seismic instrumentations is complementary, and suggesting the joint use of both types of data, particularly when the network coverage is sparse. First the strong‐motion records from the two Japanese networks, K‐NET and KiK‐Net, are analyzed using an automatic empirical baseline correction tool. The static coseismic displacement data are obtained by double integration and then used to derive the permanent slip distribution on the earthquake fault. Comparisons with the corresponding GPS‐based solutions yield a quantitative estimation of uncertainties of the empirical baseline correction. Furthermore, a dozen nearby GPS and strong‐motion station pairs are selected to demonstrate that the information in their time series agrees with each other. Finally, methods for combining both types of ground‐motion observation systems are discussed, and the wide applicability of this approach is highlighted.