Item talk:Q248201
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Temporal variations in Global Seismic Stations ambient noise power levels", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70045080", "url": "https://pubs.usgs.gov/publication/70045080" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70045080 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1785/gssrl.81.4.605", "url": "https://doi.org/10.1785/gssrl.81.4.605" } ], "journal": { "@type": "Periodical", "name": "Seismological Research Letters", "volumeNumber": "81", "issueNumber": "4" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Seismological Research Letters" } ], "datePublished": "2010", "dateModified": "2020-09-14", "abstract": "Recent concerns about time-dependent response changes in broadband seismometers have motivated the need for methods to monitor sensor health at Global Seismographic Network (GSN) stations. We present two new methods for monitoring temporal changes in data quality and instrument response transfer functions that are independent of Earth seismic velocity and attenuation models by comparing power levels against different baseline values.Our methods can resolve changes in both horizontal and vertical components in a broad range of periods (\u223c0.05 to 1,000 seconds) in near real time. In this report, we compare our methods with existing techniques and demonstrate how to resolve instrument response changes in long-period data (>100 seconds) as well as in the microseism bands (5 to 20 seconds).High quality broadband data recorded by the GSN are fundamental to characterizing a wide range of Earth science issues including: the size and rupture of large earthquakes (e.g.,\u00a0Tsai\u00a0et al.\u00a02005); imaging the interior of the Earth (e.g.,\u00a0Van der Hilst\u00a0et al.\u00a01997); tracking global climate variation (Aster\u00a0et al.\u00a02008); and monitoring calving glaciers (Ekstro\u0308m\u00a0et al.2003,\u00a02006a).Recent studies based on theoretical Earth models (Ekstro\u0308m\u00a0et al.\u00a02006b;\u00a0Davis and Berger 2007) suggest that broadband seismometer gain levels can vary with time. This has also been confirmed, for the STS-1 sensor, experimentally (Yuki and Ishihara 2002). It therefore has become necessary to systematically check for temporal changes in amplitude at GSN stations. Many of these changes are frequency-dependent in nature and not\u00a0a priori\u00a0predictable (Ekstro\u0308m\u00a0et al.\u00a02006b). Robust methods that can be applied to a large number of stations in a broad range of frequency bands are necessary.", "description": "9 p.", "publisher": { "@type": "Organization", "name": "Seismological Society of America" }, "author": [ { "@type": "Person", "name": "Gee, L.S.", "givenName": "L.S.", "familyName": "Gee" }, { "@type": "Person", "name": "McNamara, D.E.", "givenName": "D.E.", "familyName": "McNamara", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-6860-0350", "url": "https://orcid.org/0000-0001-6860-0350" } }, { "@type": "Person", "name": "Hutt, C. R.", "givenName": "C. 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