U.S. Department of EnergyOffice of Scientific and Technical Information
Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)
Abstract
These files are ambient noise correlation (ANC) functions calculated for 11 days of continuous seismic data recorded by the Lawrence Berkeley network in the Brady geothermal field. These are SAC formatted seismic waveforms. The stations included are BPB04, BPB05, BPB07, BPB08, BPRT1, BPRT2, BPRT3, BPRT5, BRB10, BRP01, BRP02, BRP03, BRP04, BPR06, and BRP09 The original data were cut into hour long traces and processed by differentiating, removing the mean, removing the trend, applying a 1% taper, whitening, removing the mean and trend again, and converting to single bit traces. The data were then correlated with those from other stations and stacked. The resulting files were then named according to the convention: STA1.STA2.CHAN1_CHAN2.NHOURS.stacked.sac The days included are from records during 2013 (julian days, 200,220-229). The ANC correlations were calculated on the raw data traces (without instrument corrections applied) to assess the quality of the signal as a function of frequency throughout the network. The data were recorded at 500 Hz. We observe high quality signals 30 Hz on all traces, and measurable signal up to 80 Hz on a subset of the traces.
- Authors:
- Publication Date:
- Other Number(s):
- 494
- DOE Contract Number:
- EE0006760
- Research Org.:
- USDOE Geothermal Data Repository (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Collaborations:
- Lawrence Livermore National Laboratory
- Subject:
- 15 Geothermal Energy
- Keywords:
- geothermal; ambient noise correlation; seismic; Brady Geothermal Field; seismic waveforms; ambient noise Brady geothermal; brady; bradys hot springs; porotomo; ANC; functions
- Geolocation:
- 39.9883,-118.8167|39.5883,-118.8167|39.5883,-119.2167|39.9883,-119.2167|39.9883,-118.8167
- OSTI Identifier:
- 1196283
- DOI:
- https://doi.org/10.15121/1196283
- Project Location:
-
Citation Formats
Matzel, Eric. Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms). United States: N. p., 2015.
Web. doi:10.15121/1196283.
Matzel, Eric. Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms). United States. doi:https://doi.org/10.15121/1196283
Matzel, Eric. 2015.
"Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)". United States. doi:https://doi.org/10.15121/1196283. https://www.osti.gov/servlets/purl/1196283. Pub date:Wed Jul 01 00:00:00 EDT 2015
@article{osti_1196283,
title = {Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)},
author = {Matzel, Eric},
abstractNote = {These files are ambient noise correlation (ANC) functions calculated for 11 days of continuous seismic data recorded by the Lawrence Berkeley network in the Brady geothermal field. These are SAC formatted seismic waveforms. The stations included are BPB04, BPB05, BPB07, BPB08, BPRT1, BPRT2, BPRT3, BPRT5, BRB10, BRP01, BRP02, BRP03, BRP04, BPR06, and BRP09 The original data were cut into hour long traces and processed by differentiating, removing the mean, removing the trend, applying a 1% taper, whitening, removing the mean and trend again, and converting to single bit traces. The data were then correlated with those from other stations and stacked. The resulting files were then named according to the convention: STA1.STA2.CHAN1_CHAN2.NHOURS.stacked.sac The days included are from records during 2013 (julian days, 200,220-229). The ANC correlations were calculated on the raw data traces (without instrument corrections applied) to assess the quality of the signal as a function of frequency throughout the network. The data were recorded at 500 Hz. We observe high quality signals 30 Hz on all traces, and measurable signal up to 80 Hz on a subset of the traces.},
doi = {10.15121/1196283},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2015},
month = {Wed Jul 01 00:00:00 EDT 2015}
}