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Glenn Thompson edited this page Nov 4, 2021 · 13 revisions

Welcome to the kitchensinkGT wiki!

Miscellaneous research codes, organized into projects with a common set of libraries. This is just where I actively work, before packing codes up for release when publishing papers, datasets etc.

Projects

  1. Automatic Reclassification of Volcano Seismic Signals from Soufrière Hills Volcano, Montserrat, 1996 to 2008 (AGU Fall Poster, 2021)
  2. Converting CALIPSO and SEA-CALIPSO data
  3. Recovering data from MVO analog seismic network
  4. Classifying events from the MVO analog seismic network
  5. Understanding Montserrat seismicity, 1992-1996 with VDAP
  6. ICEWEB: Reconstructing the spectrogram browser, reduced displacement plots, tremor alarm system, web-based configuration. And tools to plot SSAM, FFT and RSAM data too. Also look at my separate IceWebPy repository (perhaps incorporate it here?)
  7. MiamiLakes: Codes to automatically process events identified by Steve McNutt. Could convert these to PyMSEC and apply AAA.
  8. PyMSEC browser. A web browser for PyMSEC format, e.g. browse event seismograms, spectra, spectrograms, ESAM, event count plots etc.
  9. Energy-magnitude scale. Pull from PyMSEC.
  10. ASL. Pull from PyMSEC.
  11. RocketSeis. Codes for downloading, processing and analyzing rocket seismic events.
  12. SHAARC. Various non-sensitive codes that might be useful for this project.
  13. SteveKrupa. Includes useful workflow for quantifying PGD, PGV and PGA measurements and estimates from real and simulated earthquakes.
  14. Financial. Assorted personal finance tools, none of which contain any personal info.

Data formats used

  • For seismic waveform files: MiniSEED is target format, though sometimes have to convert from Seislog, Seisan, Reftek RT130, Nanometrics Apollo, SUDS WVM and DMX, etc.
  • For seismic event metadata: QuakeML should probably be target, but I tend to work with Seisan S-files (Nordic format), and CSS3.0 event, origin, arrival, assoc tables etc.
  • For seismic instrument response metadata: StationML should probably be target, though I have to convert from Seisan response format, RESP files, dateless SEED, SAC pole-zero etc.
  • CSV files are ideal for any waveform measurements made

Python and ObsPy classes used

  • All seismic waveform data should be read into ObsPy Stream/Trace objects
  • One or many seismic events should be read into ObsPy Catalog objects
  • All seismic instrument response metadata should be read into ObsPy Inventory objects
  • CSV files should be loaded into pandas DataFrame objects

Directory structures used

Continuous seismic data

Seismic event catalogs with linked segmented waveform data

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