MUSTANG: Advances in a Resource for Seismic Noise Measurements and Data Quality Metrics

Date: 4/24/2019

Time: 06:00 PM

Room: Grand Ballroom

MUSTANG is a system for calculating, storing, and disseminating Power Spectral Densities (PSDs), Probability Density Functions (PDFs), and data quality metrics encompassing the 40+ years of seismic data in the IRIS Data Management Center primary archive. This information is a seismological community-wide resource that is designed to improve earthquake research at a variety of levels: ambient seismic noise studies, network operator quality assurance efforts, and large data set culling based on metrics, among others. Access to MUSTANG is provided through a suite of web services and visualization tools at http://service.iris.edu/mustang.

In the past year, MUSTANG has reached the milestone of nearly complete archive coverage for most seismic channels including high gain, low gain, accelerometer, gravimeter, and geophone channels. Its database contains PSDs, PDFs, and quality metrics for over 137,000 unique station-channels and 98 million station-channel-days, resulting in an extensive collection of measurements that are useful for examining both short-term and long-term trends. We will highlight the newest web service, noise-spectrogram, which provides spectrogram plots using daily PDF-mode values, and also improvements to MUSTANG Databrowser and MUSTANGular, which are tools for generating quality metric plots and map views.

Presenting Author: Gillian Sharer

Authors