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Improving the Foreshock Traffic Light Systems for Real‐Time Discrimination Between Foreshocks and Aftershocks
Variability of Seismicity Rates and Maximum Magnitude for Adjacent Hydraulic Stimulations
How to b ‐Significant When Analyzing b ‐Value Variations
Multiscale Seismic Monitoring in the Bedretto Underground Laboratory for Geosciences and Geoenergies (BULGG)
suiETAS: Developing and Testing ETAS‐Based Earthquake Forecasting Models for Switzerland
SCDetect: A SeisComP Module for Real‐Time Waveform Cross‐Correlation‐Based Earthquake Detection
A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk
Question‐Driven Ensembles of Flexible ETAS Models
Combined Large‐ N Seismic Arrays and DAS Fiber Optic Cables across the Hengill Geothermal Field, Iceland
Fluid pressure monitoring during hydraulic testing in faulted Opalinus Clay using seismic velocity observations
MALMI: An Automated Earthquake Detection and Location Workflow Based on Machine Learning and Waveform Migration
Loss‐Based Performance Assessment and Seismic Network Optimization for Earthquake Early Warning
Comment on “High‐Definition Mapping of the Gutenberg–Richter b ‐Value and Its Relevance: A Case Study in Italy” by M. Taroni, J. Zhuang, and W. Marzocchi
Comment on “Two Foreshock Sequences Post Gulia and Wiemer (2019)” by Kelian Dascher‐Cousineau, Thorne Lay, and Emily E. Brodsky
Seismicity Rate Change as a Tool to Investigate Delayed and Remote Triggering of the 2010–2011 Canterbury Earthquake Sequence, New Zealand
The Effect of Declustering on the Size Distribution of Mainshocks
Pseudoprospective Evaluation of the Foreshock Traffic‐Light System in Ridgecrest and Implications for Aftershock Hazard Assessment
A workflow for the rapid assessment of the landslide-tsunami hazard in peri-alpine lakes
Abstract Although lake tsunamis constitute a rare peril, they have repeatedly occurred in peri-alpine lakes in the past. There are several documented historical examples of landslide-triggered tsunamis in Swiss lakes. However, fundamental information and workflows to rapidly quantify the lacustrine tsunami hazard for multiple lakes are missing so far. The fact that the shorelines of major peri-alpine lakes are densely populated underlines the need for a hazard assessment. Detailed assessments require high-resolution geophysical, geotechnical and sedimentological data, and considerable computation time. Due to the involved data acquisition and calculation efforts, such assessments are mainly conducted as detailed case studies for single lakes. We present a workflow for a rapid first-order estimation of the landslide-triggered tsunami hazard along the shores of peri-alpine lakes. A crucial step is the identification of potential tsunami sources. Unstable slopes are mapped automatically, based on parameters that are derived from past studies. Such parameters include the bathymetry and derived parameters, and type, characteristics and thickness of the sediments. Wave amplitudes are estimated with existing predictive equations, based on the constructed maps of potentially unstable slopes. The results may be used for focusing more detailed, lake-specific tsunami-hazard assessments in respective areas.