Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies
Abstract When working with ultra-low-frequency (ULF) magnetic datasets, as with most geophysical time-series data, it is important to be able to distinguish between cultural signals, internal instrument noise, and natural external signals with their induced telluric fields. This distinction is commo...
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doaj-4abc5bbe4a764e3583db792f3962eb202020-11-25T01:11:33ZengSpringerOpenEarth, Planets and Space1880-59812018-04-0170111410.1186/s40623-018-0823-7Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studiesCan Wang0Chen Bin1Lilianna E. Christman2Jonathan M. G. Glen3Simon L. Klemperer4Darcy K. McPhee5Karl N. Kappler6Tom E. Bleier7J. Clark Dunson8U.S. Geological SurveyU.S. Geological SurveyU.S. Geological SurveyU.S. Geological SurveyDepartment of Geophysics, Stanford UniversityU.S. Geological SurveyQuakeFinder Inc.QuakeFinder Inc.QuakeFinder Inc.Abstract When working with ultra-low-frequency (ULF) magnetic datasets, as with most geophysical time-series data, it is important to be able to distinguish between cultural signals, internal instrument noise, and natural external signals with their induced telluric fields. This distinction is commonly attempted using simultaneously recorded data from a spatially remote reference site. Here, instead, we compared data recorded by two systems with different instrumental characteristics at the same location over the same time period. We collocated two independent ULF magnetic systems, one from the QuakeFinder network and the other from the United States Geological Survey (USGS)-Stanford network, in order to cross-compare their data, characterize data reproducibility, and characterize signal origin. In addition, we used simultaneous measurements at a remote geomagnetic observatory to distinguish global atmospheric signals from local cultural signals. We demonstrated that the QuakeFinder and USGS-Stanford systems have excellent coherence, despite their different sensors and digitizers. Rare instances of isolated signals recorded by only one system or only one sensor indicate that caution is needed when attributing specific recorded signal features to specific origins.http://link.springer.com/article/10.1186/s40623-018-0823-7Ultra-low frequency (ULF)Magnetic observatoryTime-series analysisMagnetic fieldInstrumental noise |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Can Wang Chen Bin Lilianna E. Christman Jonathan M. G. Glen Simon L. Klemperer Darcy K. McPhee Karl N. Kappler Tom E. Bleier J. Clark Dunson |
spellingShingle |
Can Wang Chen Bin Lilianna E. Christman Jonathan M. G. Glen Simon L. Klemperer Darcy K. McPhee Karl N. Kappler Tom E. Bleier J. Clark Dunson Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies Earth, Planets and Space Ultra-low frequency (ULF) Magnetic observatory Time-series analysis Magnetic field Instrumental noise |
author_facet |
Can Wang Chen Bin Lilianna E. Christman Jonathan M. G. Glen Simon L. Klemperer Darcy K. McPhee Karl N. Kappler Tom E. Bleier J. Clark Dunson |
author_sort |
Can Wang |
title |
Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
title_short |
Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
title_full |
Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
title_fullStr |
Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
title_full_unstemmed |
Cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
title_sort |
cross-validation of independent ultra-low-frequency magnetic recording systems for active fault studies |
publisher |
SpringerOpen |
series |
Earth, Planets and Space |
issn |
1880-5981 |
publishDate |
2018-04-01 |
description |
Abstract When working with ultra-low-frequency (ULF) magnetic datasets, as with most geophysical time-series data, it is important to be able to distinguish between cultural signals, internal instrument noise, and natural external signals with their induced telluric fields. This distinction is commonly attempted using simultaneously recorded data from a spatially remote reference site. Here, instead, we compared data recorded by two systems with different instrumental characteristics at the same location over the same time period. We collocated two independent ULF magnetic systems, one from the QuakeFinder network and the other from the United States Geological Survey (USGS)-Stanford network, in order to cross-compare their data, characterize data reproducibility, and characterize signal origin. In addition, we used simultaneous measurements at a remote geomagnetic observatory to distinguish global atmospheric signals from local cultural signals. We demonstrated that the QuakeFinder and USGS-Stanford systems have excellent coherence, despite their different sensors and digitizers. Rare instances of isolated signals recorded by only one system or only one sensor indicate that caution is needed when attributing specific recorded signal features to specific origins. |
topic |
Ultra-low frequency (ULF) Magnetic observatory Time-series analysis Magnetic field Instrumental noise |
url |
http://link.springer.com/article/10.1186/s40623-018-0823-7 |
work_keys_str_mv |
AT canwang crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT chenbin crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT liliannaechristman crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT jonathanmgglen crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT simonlklemperer crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT darcykmcphee crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT karlnkappler crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT tomebleier crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies AT jclarkdunson crossvalidationofindependentultralowfrequencymagneticrecordingsystemsforactivefaultstudies |
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