Room: Tubughnenq’ 4
Date: 5/2/2024
Session Time: 4:30 PM to 5:45 PM (local time)
The rapid growth of geophysical data, sensing technologies, and computing power has opened new frontiers in seismological research and education. To harness the potential of these resources, seismologists need to adopt advanced cyberinfrastructure and modern numerical methods for data collection, transformation, analysis, storage, and distribution at scale. This session will showcase how cloud computing services, open software frameworks, and high-performance computing (HPC) can enable open, reproducible, and transformative science in seismology. We will also explore how these technologies can support seismology education and training for the next-generation workforce. We invite contributions from researchers, data producers, and data providers who have experience in using or developing cutting-edge cyberinfrastructure for large-scale seismological problems such as dynamic rupture modeling, full waveform simulations and inversions, data mining using large seismic networks and distributed acoustic sensing. We also welcome contributions from educators who have implemented pedagogical approaches to teach seismology using modern cyberinfrastructure. Additionally, we encourage contributions from community efforts that aim to facilitate the adoption of these technologies, such as SCOPED, MTMOD, CRESCENT, SCEC, ChEESE, GeoInquire and Quakeworx.
Conveners:
Alice-Agnes Gabriel, University of California, San Diego (algabriel@ucsd.edu)
Henry Berglund, EarthScope Consortium (henry.berglund@earthscope.org)
Marine A. Denolle, University of Washington (mdenolle@uw.edu)
Tim Dittmann, EarthScope Consortium (tim.dittmann@earthscope.org)
Zoe Krauss, University of Washington (zkrauss@uw.edu)
Eileen Martin, Colorado School of Mines (eileenrmartin@mines.edu)
manda Thomas, University of Oregon (amthomas@uoregon.edu)
Chad Trabant, EarthScope Consortium (chad.trabant@earthscope.org)
Ian Wang, University of Texas at Austin (iwang@tacc.utexas.edu)
Oral Presentations
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Submission | Advancing USGS Scientific Modeling Through Cloud Computing | 04:30 PM | 15 | View |
| Submission | Parallel Processing of Large Seismic Data Sets With Mspass | 04:45 PM | 15 | View |
| Submission | Enabling Large Data Analysis on the Earthscope Data Repositories | 05:00 PM | 15 | View |
| Submission | Exploring the Impact of Lossy Compression on Passive Seismic Event Detection and Arrival Time Precision | 05:15 PM | 15 | View |
| Submission | Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model | 05:30 PM | 15 | View |
| Total: | 75 Minute(s) |
Leveraging Cutting-Edge Cyberinfrastructure for Large Scale Data Analysis and Education - I
Description