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High Performance Seismology

About

  • SCOPED
  • Team
  • SCOPED Events
    • SCOPED Workshop (2024)
    • SSA Workshop Data Mining and Cloud 101 (2024)
    • SCEC HPS Workshop (2023)
  • Authors
  • Event Code of Conduct

Preliminary Resources

  • Preliminary Coding Work
    • Local environment
    • Software Carpentry Training
    • GitHub
    • JupyterHub
    • Git
    • Python Installation
  • Preliminary Seismology

Cloud Computing

  • Introduction
  • AWS Role Management
  • AWS 101
  • AWS S3

Ambient Seismic Field

  • Introduction
  • NoisePy tutorial: SCEDC
  • NoisePy tutorial: Visualization
  • NoisePy tutorial: Monitoring
  • NoisePy tutorial: AWS Batch
  • NoisePy tutorial: Coiled

Quake Catalog Building

  • Quake Catalog Building
  • Earthquake detection on AWS Batch with SeisBench and PyOcto
  • Lamont ML Catalog
  • SpecUFEx Tutorial: Amatrice, Italy October 2016

ML Seismology (GeoSMART)

  • Machine Learning for Seismology

SPECFEM

  • SCOPED Specfem/SeisFlows Workshop Material
  • 2. Forward Simulations
  • 3. Kernels and Adjoint Simulations

SCEC

  • SCEC High Performance Earthquake Science Tools

References

  • Glossaries
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  • repository
  • open issue

Index

Symbols | B | C | D | G | J | M | P

Symbols

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B

  • Binder
  • BinderHub

C

  • Conda

D

  • Docker

G

  • Git
  • GitHub

J

  • Jupyter Book
  • Jupyter Notebook
  • JupyterHub
  • JupyterLab

M

  • MyST

P

  • Project Jupyter

By University of Washington, eScience Institute, Texas Advanced Computing Center
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