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Nico Schliwa
Ludwig Maximilians University of MunichMeeting roles in:
Leveraging GNSS TEC Signals to unravel earthquake rupture processes
Understanding the Complexity of Fluid-Induced Microearthquake Ruptures: Insights from High-Resolution Observations and 3D Dynamic Modeling
The Linked Complexity of Coseismic and Postseismic Faulting Revealed by Seismo-Geodetic Dynamic Inversion of the 2004 Parkfield Earthquake
Can the Complex Dynamic Rupture Behaviour of the 2025 Myanmar Earthquake be Predicted from its Static Slip Distribution Alone?
Constraining On- and Off-Fault Nonlinear Dynamic Rupture Parameters via the First Hierarchical Bayesian Inversion of GNSS and Satellite Data for the 2019 Mw 7.1 Ridgecrest Earthquake
Rupture Geometry and Slip Distribution of the 2025 Mw 7.8 Myanmar Earthquake Constrained by Sentinel-1A/2 and ALOS-2 Satellite Data
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