Cooperative Agreement G17AC00058

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $462,400 to the University of California San Diego, Scripps Institution of Oceanography, to develop advanced machine learning techniques for generating realistic, synthetic earthquake ground motion simulations. The goal is to create a faster, more generalizable physics-based model that can efficiently study large, infrequent earthquakes and assess their hazards for California and Nevada....

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $238,875.00 to the University of Utah to develop a detailed 3D model of the Los Angeles Basin. The goal is to accurately estimate earthquake ground motion and assess seismic hazard for this densely populated area. The researchers will analyze data from a 300-node geophone array deployed across the LA Basin, combining it with other seismic and gravity observations to construct the 3D basin...

The National Science Foundation Division of Earth Sciences awarded a $218,579 Project Grant to the California Institute of Technology to support research titled "COLLABORATIVE RESEARCH: A NEW 3-D VELOCITY AND STRUCTURAL MODEL OF THE NORTHERN BASINS IN THE LOS ANGELES REGION FOR IMPROVED GROUND MOTION ESTIMATES." The two-year grant running from July 15, 2021 to June 30, 2023 will fund research under the Geosciences program (CFDA 47.050). The Geosciences program supports basic research...

This $110,662 federal Project Grant award, funded by the U.S. Geological Survey (USGS) under the Earthquake Hazards Program Assistance (CFDA 15.807), aims to develop a framework for continuously updating ground motion prediction equations. The proposed research by Virginia Polytechnic Institute & State University (Virginia Tech) involves collecting and processing seismic data to create physics-based and engineering-based ground motion models, leveraging a Bayesian regression approach to...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $224,382 to the California Institute of Technology (Caltech) to develop a detailed 3D model of the Los Angeles Basin. The goal is to better understand the basin's complex tectonic history and improve seismic hazard assessment for the densely populated region. The project will analyze data from a temporary 300-node geophone array deployed across the LA Basin in 2022, combining it with...

This Project Grant award of $386,220 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support the development of machine learning techniques to generate realistic, synthetic earthquake ground motion data. The key products of this project include: Physics-based machine learning models, named Operator Inference (OPINF), that can create time-dependent parametric surrogate models of seismic ground motions by fusing simulated wavefields with observed earthquake records....

This $3.2 million cooperative agreement from the U.S. Geological Survey will fund the Southern California Earthquake Center (SCEC) to conduct earthquake research from February 1, 2022 through January 31, 2024. The research is part of the U.S. Geological Survey Research and Data Collection program (CFDA 15.808) and will focus on developing improved models for earthquakes and seismic ground motion through collaborative research efforts. Key activities include developing workflows to integrate...

This two-year, $151,076 Project Grant from the National Science Foundation's Geosciences program (CFDA #47.050) will support the development of a database of high-fidelity synthetic seismograms for incorporation into the Global Centroid-Moment-Tensor Project. The awardee, Princeton University, will work with the Princeton Numerical Seismology Group and Lamont-Doherty Earth Observatory to adapt the SPECFEM3D_GLOBE spectral element solver to generate synthetic seismograms across a global grid of...

This Project Grant award from the U.S. Geological Survey's (USGS) Earthquake Hazards Program Assistance (CFDA 15.807) provides $121,259 to the University of Wisconsin - Madison to further improve a new joint spectral ratio analysis method for determining more accurate earthquake source parameters. The key activities and expected outcomes include: Investigating the importance of factors like frequency-dependent attenuation, source models, rupture directivity, and frequency bandwidth on estimating...

This $203,961 National Science Foundation Project Grant from the Geosciences program (CFDA 47.050) supports research to develop a new 3D velocity and structural model of sedimentary basins in the Los Angeles region. The University of Arizona will receive funding from January 15, 2023 to June 30, 2023 to conduct seismic field experiments using over 700 instruments across 10 lines. This will allow imaging of subsurface structures channeling earthquake waves into downtown Los Angeles at a higher...