Kendra Johnson
YOU?
Author Swipe
View article: Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis
Global EarthquakE ScEnarios (GEESE): An OpenQuake Engine-Based Rupture Matching Algorithm and Scenarios Database for Seismic Source Model Testing and Rapid Post-Event Response Analysis Open
The Global EarthquakE ScEnarios (GEESE) algorithm retrieves from a seismic hazard input model the ruptures matching a set of criteria (e.g., magnitude, location, focal mechanism). We applied the GEESE algorithm to create a publicly availab…
View article: The OpenQuake Model Building Toolkit: A suite of tools for building components of a seismic hazard model
The OpenQuake Model Building Toolkit: A suite of tools for building components of a seismic hazard model Open
Building a probabilistic seismic hazard model is a complex task, requiring the integration of disparate datasets into one cohesive and comprehensive model. To facilitate this process, we have developed the OpenQuake Model Building Toolkit …
View article: Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates
Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates Open
Probabilistic tsunami hazard assessment and probabilistic tsunami risk assessment (PTHA and PTRA) are vital methodologies for computing tsunami risk and prompt measures to mitigate impacts. However, their application across extensive coast…
View article: Comment on nhess-2024-72
Comment on nhess-2024-72 Open
Abstract. Probabilistic tsunami hazard and risk assessment (PTHA and PTRA) are vital methodologies for computing tsunami risk and prompt measures to mitigate impacts. At large regional scales, their use and scope are curre…
View article: Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates
Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates Open
Probabilistic tsunami hazard and risk assessment (PTHA and PTRA) are vital methodologies for computing tsunami risk and prompt measures to mitigate impacts. At large regional scales, their use and scope are currently limited by the computa…
View article: Supplementary material to "Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates"
Supplementary material to "Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates" Open
View article: The GTM global probabilistic tsunami hazard model
The GTM global probabilistic tsunami hazard model Open
The EU ChEESE-2P project (Centre of Excellence for Exascale in Solid Earth, second Phase, https://cheese2.eu/) aims to developing Pilot Demonstrators (PD) in different areas of Solid Earth (SE) addressing 12 SE Exascale Computational Chall…
View article: ML Surrogate for Tsunami Forecasting and Hazard Assessment in Eastern Sicily
ML Surrogate for Tsunami Forecasting and Hazard Assessment in Eastern Sicily Open
Addressing the challenges associated with the high computational cost of tsunami inundation simulation has been a persistent issue, particularly in capturing earthquake source uncertainty and solving the nonlinear shallow water equations o…
View article: Hamlet: An Application for Seismic Hazard Model Evaluation and Testing
Hamlet: An Application for Seismic Hazard Model Evaluation and Testing Open
Reliable seismic hazard modeling requires careful calibration to the datasets used to create the model. Additionally, assessing the performance of an existing model involves statistical comparisons to data not used in model construction. H…
View article: Global Seismic Hazard Map
Global Seismic Hazard Map Open
The Global Earthquake Model (GEM) Global Seismic Hazard Map (version 2023.1) depicts the geographic distribution of the Peak Ground Acceleration (PGA) in terms of fraction of the acceleration of gravity, with a 10% probability of being exc…
View article: Global Seismic Hazard Map
Global Seismic Hazard Map Open
The Global Earthquake Model (GEM) Global Seismic Hazard Map (version 2023.1) depicts the geographic distribution of the Peak Ground Acceleration (PGA) in terms of fraction of the acceleration of gravity, with a 10% probability of being exc…
View article: A HYBRID ML-PHYSICAL MODELLING APPROACH FOR EFFICIENT PROBABILISTIC TSUNAMI HAZARD AND RISK ASSESSMENT
A HYBRID ML-PHYSICAL MODELLING APPROACH FOR EFFICIENT PROBABILISTIC TSUNAMI HAZARD AND RISK ASSESSMENT Open
View article: PSHA for the Dominican Republic
PSHA for the Dominican Republic Open
The Dominican Republic, situated on eastern Hispaniola Island in the Caribbean, is subject to moderate to high seismic hazard mostly controlled by oblique convergence at the Caribbean/North American plate boundary. Offshore of the island, …
View article: Efficient Probabilistic Tsunami Hazard and Risk Assessment Using a Hybrid Modeling Approach: A Systematic Evaluation
Efficient Probabilistic Tsunami Hazard and Risk Assessment Using a Hybrid Modeling Approach: A Systematic Evaluation Open
The hybrid modelling approach combining machine learning and physics-based simulation has been used in a variety of ways to study tsunami and improve our understanding of this complex natural hazard. They are broadly applied for (1) Tsunam…
View article: New Statistical Perspectives on Bath's Law and Aftershock Productivity
New Statistical Perspectives on Bath's Law and Aftershock Productivity Open
The well-established Bath's law states that the average magnitude difference between a mainshock and its strongest aftershock is roughly 1.2, independently of the size of the mainshock. The main challenge in calculating this value is the b…
View article: New Statistical Perspectives on Bath’s Law and Aftershock
New Statistical Perspectives on Bath’s Law and Aftershock Open
The well-established Bath's law states that the average magnitude difference between a mainshock and its strongest aftershock is roughly 1.2, independently of the size of the mainshock. The main challenge in calculating this value is the b…
View article: A hybrid ML-physical modelling approach for efficient approximation of tsunami waves at the coast for probabilistic tsunami hazard assessment
A hybrid ML-physical modelling approach for efficient approximation of tsunami waves at the coast for probabilistic tsunami hazard assessment Open
<p>This work investigates a novel approach combining numerical modelling and machine learning, aimed at developing an efficient procedure that can be used for large scale tsunami hazard and risk studies. Probabilistic tsunami hazard …
View article: Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps
Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps Open
Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. How…
View article: Submeter Resolution Surface Rupture Topography From Legacy Aerial Photographs—A Test Case From the 1992 Landers Earthquake
Submeter Resolution Surface Rupture Topography From Legacy Aerial Photographs—A Test Case From the 1992 Landers Earthquake Open
The 1992 7.3 Landers earthquake in the Mojave Desert (California) provided exceptional observations of surface faulting in a large, continental earthquake. The U. S. Geological Survey obtained nadir angle, overlapping aerial photographs at…
View article: Extent of Low‐Angle Normal Slip in the 2010 El Mayor‐Cucapah (Mexico) Earthquake From Differential Lidar
Extent of Low‐Angle Normal Slip in the 2010 El Mayor‐Cucapah (Mexico) Earthquake From Differential Lidar Open
We investigate the 4 April 2010 M w 7.2 El Mayor‐Cucapah (Mexico) earthquake using three‐dimensional surface deformation computed from preevent and postevent airborne lidar topography. By profiling the E‐W, N‐S, and vertical displacement f…
View article: Surface Rupture Morphology and Vertical Slip Distribution of the 1959<b><i>M</i></b><sub><b><i>w</i></b></sub>7.2 Hebgen Lake (Montana) Earthquake From Airborne Lidar Topography
Surface Rupture Morphology and Vertical Slip Distribution of the 1959<b><i>M</i></b><sub><b><i>w</i></b></sub>7.2 Hebgen Lake (Montana) Earthquake From Airborne Lidar Topography Open
The 1959 M w ∼7.2 Hebgen Lake earthquake is among the largest continental normal faulting events recorded, as well as one of the earliest associated with a multifault rupture. Multimeter vertical slip was observed on three main, morphologi…
View article: Applications of high resolution topography in tectonic geomorphology
Applications of high resolution topography in tectonic geomorphology Open
In recent years, sub-meter scale topography data have become increasingly available, mostly from laser scanning methods and satellite stereophotogrammetry. These data have increased the extent to which we can remotely document and analyze …
View article: Normal faulting in the Simav graben of western Turkey reassessed with calibrated earthquake relocations
Normal faulting in the Simav graben of western Turkey reassessed with calibrated earthquake relocations Open
Western Turkey has a long history of large earthquakes, but the responsible faults are poorly characterized. Here we reassess the past half century of instrumental earthquakes in the Simav‐Gediz region, starting with the 19 May 2011 Simav …
View article: RMT focal plane sensitivity to seismic network geometry and faulting style
RMT focal plane sensitivity to seismic network geometry and faulting style Open
Modern tectonic studies often use regional moment tensors (RMTs) to interpret the seismotectonic framework of an earthquake or earthquake sequence; however, despite extensive use, little existing work addresses RMT parameter uncertainty. H…