Summary
The IRIS DMC Noise Toolkit is a collection of 3 open-source Python script bundles for:
- Computing Power Spectral Densities (PSD) of waveform data
- Performing microseism energy computations from PSDs
- Performing frequency dependent polarization analysis of seismograms
Quicklinks
Data Product pages:
- PDF-PSD
- microseism energy
- polarization attributes
- Noise-Toolkit Python 3 code (GitHub)
Citation & DOIs:
Description
The IRIS DMC Noise Toolkit data product is a collection of 3 open-source Python script bundles (GitHub repository) that are developed to assist users with computing Power Spectral Density (PSD) of station waveform data using customized parameters, computing microseism energy from PSDs at different frequency bands and with performing frequency dependent polarization analysis of the waveform data. The 3 script bundles that constitute this Noise Toolkit are:
- PDF/PSD bundle — a bundle that contains a series of Python scripts to:
- request waveform and response data for given station(s) using the ObsPy FDSN client
OR read user’s waveform data files (in SAC, MSEED, CSS, etc. format) and only request response information - compute PSDs and populate an hourly file-based PSD database
- extract PSDs and PDFs (Power Density Functions) from the PSD database
- request waveform and response data for given station(s) using the ObsPy FDSN client
- Microseism energy bundle — a bundle that contains a series of Python scripts to compute microseism energy using PSDs from the PSD database created by the PDF/PSD bundle above. Microseism energy plots reveal coherent variability of microseism noise at the stations as well as those caused by major storms.
- Frequency dependent polarization analysis bundle — a bundle that contains a series of Python scripts to perform polarization analysis of seismic noise recorded by three-component seismometers.
Citations and DOIs
To cite the IRIS DMC Data Products effort:
- Hutko, A. R., M. Bahavar, C. Trabant, R. T. Weekly, M. Van Fossen, T. Ahern (2017), Data Products at the IRIS‐DMC: Growth and Usage, Seismological Research Letters, 88, no. 3, https://doi.org/10.1785/0220160190.
To cite the IRIS DMC The IRIS DMC Noise Toolkit or reference use of its bundles:
- IRIS DMC (2014), Data Services Products: The IRIS DMC Noise Toolkit, https://doi.org/10.17611/DP/NTK.1.
PDF/PSD
To cite the source or reference the use of the Noise Toolkit PDF/PSD bundle:
- IRIS DMC (2014), Data Services Products: Noise Toolkit PDF-PSD Noise Toolkit PDF/PSD bundle, https://doi.org/10.17611/DP/NTK.2.
Polarization Attributes
To cite the source of the Noise Toolkit Polarization Attributes bundle:
- Koper K.D. and V.L. Hawley, “Frequency dependent polarization analysis of ambient seismic noise recorded at a broadband seismometer in the Central United States”, Earthquake Science, 23, 439-447, 2010.
To reference the use of the Noise Toolkit Polarization Attributes bundle:
- IRIS DMC (2015), Data Services Products: Polarization Attributes bundle, https://doi.org/10.17611/DP/NTK.4.
Microseism Energy
To cite the source or reference the use of the Noise Toolkit Microseism Energy (ME) bundle:
- IRIS DMC (2015), Data Services Products: Noise Toolkit Microseism Energy (ME) bundle, Anthony, Rob and Rick Aster, https://doi.org/10.17611/DP/NTK.3.
References
- Koper K.D. and V.L. Hawley, “Frequency dependent polarization analysis of ambient seismic noise recorded at a broadband seismometer in the Central United States”, Earthquake Science, 23, 439-447, 2010.
- Rick Aster and Rob Anthony, New Mexico Tech and Colorado State University, Microseism Energy/Event Data Product proposal, DPWG meeting at AGU 2012.
Credits
- Manochehr Bahavar, IRIS DMC
- Keith Koper (University of Utah)
- Rob Anthony and Rick Aster (New Mexico Tech and Colorado State University)
Timeline
- 2014-10-24
- Noise Toolkit release
- 2014-10-24
- PDF/PSD bundle release
- 2015-08-26
- Microseism Energy bundle release
- 2020-11-16
- V.2.0.0 Release