Data from Community Wavefield Demonstration Experiment Now Available

IRIS is pleased to announce that the data collected during the Community Wavefields Demonstration Experiment are now fully archived and available at the IRIS Data Management Center (DMC). The data can be accessed via standard DMC tools and the metadata can be viewed here.


Location of experiment in north-central Oklahoma.

In early 2016, IRIS solicited concepts for a community wavefield experiment to demonstrate the feasibility and methods of recording the full seismic wavefield. Many excellent concepts were received, and the selected design was a hybrid of several ideas for experiments in Oklahoma. With the participation of the community-based Principal Investigator team and numerous community members, the experiment was deployed near Enid, Oklahoma in June of 2016. The experiment made use of new 3-component nodal sensors to deploy three seismic lines and a 7-layer nested gradiometer. In addition, 18 broadband stations were deployed in a “Golay” array design, along with nine infrasound sensors co-located with nine of the broadband stations. In total, the experiment spanned a roughly 3 x 12 km area with about 400 instruments.


Design of experiment with three seismic lines of 3-component
nodal sensors (yellow), broadband stations (orange) and 7-layer
nested gradiometer (blue).


Enlarged view of 7-layer
nested gradiometer.

The nodes were deployed for 30 days from late June to late July, and the broadband and infrasound stations were deployed for approximately 5 months, from late June to mid November.

For more information on the experiment design, instrumentation, and participants, please visit IRIS’ Wavefields webpage and click on the “Experiment Overview and Summary” link.

Hearty thanks are extended to the many volunteers (students, postdocs, faculty, and others) as well as staff from the IRIS/PASSCAL Instrument Center and the IRIS Data Management Center for helping to make this dataset available to the community. View a small subset of field photos below.

A student short course organized around this dataset is planned for summer 2017. Please watch your email for an announcement in the next few months.