Maorong Ge

Prof. Dr. Maorong Ge

German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 October 2007 in Journal of Geodesy
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Journal Article
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Maorong GeMaorong Ge
Maorong Ge
GGG. Gendt
G. Gendt
MRM. Rothacher
M. Rothacher
CSC. Shi
C. Shi
JLJingnan Liu
Jingnan Liu

18 April 2007 in Journal of Geodesy
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Journal Article
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RSRalf Schmid
Ralf Schmid
PSPeter Steigenberger
Peter Steigenberger
GGGerd Gendt
Gerd Gendt
Maorong GeMaorong Ge
Maorong Ge
MRMarkus Rothacher
Markus Rothacher

17 January 2013 in Journal of Geodesy
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Journal Article
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XLXingxing Li
Xingxing Li
Maorong GeMaorong Ge
Maorong Ge
HZHongping Zhang
Hongping Zhang
JWJens Wickert
Jens Wickert

1 May 2013 in Bulletin of the Seismological Society of America
Verified
Journal Article
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RWRongjiang Wang
Rongjiang Wang
SPStefano Parolai
Stefano Parolai
Maorong GeMaorong Ge
Maorong Ge
MJMingpei Jin
Mingpei Jin
Thomas WalterThomas Walter
Thomas Walter
JZJochen Zschau
Jochen Zschau
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.

2 February 2011 in GPS Solutions
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Journal Article
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Maorong GeMaorong Ge
Maorong Ge
Junping ChenJunping Chen
Junping Chen
JDJan Douša
Jan Douša
GGGerd Gendt
Gerd Gendt
JWJens Wickert
Jens Wickert

18 April 2005 in Journal of Geodesy
Verified
Journal Article
Closed access
PDF file
Maorong GeMaorong Ge
Maorong Ge
GGG. Gendt
G. Gendt
GDG. Dick
G. Dick
FZF. P. Zhang
F. P. Zhang