Assuring the Quality of IRIS Data with MUSTANG

Casey, R. E.; Templeton, Mary; Sharer, G.; Keyson, L.; Weertman, B. R.; Ahern, T. K.

doi:10.1785/0220170191

Cited by 52 publications

(10 citation statements)

References 13 publications

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“…This ANS factor is determined from the monthly reference curves and therefore should account for seasonal variability (at least on a monthly scale). There are many infrasound data quality/event identification tools, such as the Modular Utility for STatistical kNowledge Gathering (MUSTANG) (Casey et al., 2018) and the Network Processing—Vertically Integrated Seismic Analysis (NET‐VISA) (Bras et al., 2020; Mialle et al., 2019). However, the ANS factors, which quantify the deviation from the reference curves, provide an additional means to identify anomalous events or times of poor coherent signal quality.…”

Section: Discussionmentioning

confidence: 99%

Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications

Kristoffersen

Pichon

Hupe

et al. 2022

Earth and Space Science

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Section: Discussionmentioning

confidence: 99%

Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications

Kristoffersen

Pichon

Hupe

et al. 2022

Earth and Space Science

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“…These reports indicated that the GSN might have been failing to meet its calibration design goals (Lay et al., 2002) and ultimately identified the need to improve quality control across the network. In response, the U.S. Geological Survey (USGS) developed the Data Quality Analyzer system (Ringler, Hagerty, et al., 2015) and IRIS developed the Modular Utility for STAtistical kNowledge Gathering system with NSF support (Casey et al., 2018). Both packages were designed around metrics that are computed daily.…”

Section: A Brief History Of Modern Global Seismographic Networkmentioning

confidence: 99%

Achievements and Prospects of Global Broadband Seismographic Networks After 30 Years of Continuous Geophysical Observations

Ringler

Anthony

Aster

et al. 2022

Reviews of Geophysics

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Global seismographic networks (GSNs) emerged during the late nineteenth and early twentieth centuries, facilitated by seminal international developments in theory, technology, instrumentation, and data exchange. The mid‐ to late‐twentieth century saw the creation of the World‐Wide Standardized Seismographic Network (1961) and International Deployment of Accelerometers (1976), which advanced global geographic coverage as seismometer bandwidth increased greatly allowing for the recording of the Earth's principal seismic spectrum. The modern era of global observations and rapid data access began during the 1980s, and notably included the inception of the GEOSCOPE initiative (1982) and GSN (1988). Through continual improvements, GEOSCOPE and the GSN have realized near‐real time recording of ground motion with state‐of‐art data quality, dynamic range, and timing precision to encompass 180 seismic stations, many in very remote locations. Data from GSNs are increasingly integrated with other geophysical data (e.g., space geodesy, infrasound and Interferometric Synthetic Aperture Radar). Globally distributed seismic data are critical to resolving crust, mantle, and core structure; illuminating features of the plate tectonic and mantle convection system; rapid characterization of earthquakes; identification of potential tsunamis; global nuclear test verification; and provide sensitive proxies for environmental changes. As the global geosciences community continues to advance our understanding of Earth structure and processes controlling elastic wave propagation, GSN infrastructure offers a springboard to realize increasingly multi‐instrument geophysical observatories. Here, we review the historical, scientific, and monitoring heritage of GSNs, summarize key discoveries, and discuss future associated opportunities for Earth Science.

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“…Data centers need to encourage and enhance services associated with data requests using criteria such as station location, instrument type, sampling rate, data quality, data repository location, or more advanced parameters associated with earthquake parameters, propagation path, local geology at the seismic station, etc. MUSTANG (Casey et al, 2018) and WFCatalog (Trani et al, 2017) are some examples of services that allow users to pre-select data based on quality metrics.…”

Section: Diversity Of Data Requestsmentioning

confidence: 99%

Exploring Approaches for Large Data in Seismology: User and Data Repository Perspectives

Quinteros

Carter

Schaeffer

et al. 2021

Seismological Research Letters

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New data acquisition techniques are generating data at much finer temporal and spatial resolution, compared to traditional seismic experiments. This is a challenge for data centers and users. As the amount of data potentially flowing into data centers increases by one or two orders of magnitude, data management challenges are found throughout all stages of the data flow. The Incorporated Research Institutions for Seismology—Réseau sismologique et géodésique français and GEOForschungsNetz data centers—carried out a survey and conducted interviews of users working with very large datasets to understand their needs and expectations. One of the conclusions is that existing data formats and services are not well suited for users of large datasets. Data centers are exploring storage solutions, data formats, and data delivery options to meet large dataset user needs. New approaches will need to be discussed within the community, to establish large dataset standards and best practices, perhaps through participation of stakeholders and users in discussion groups and forums.

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Assuring the Quality of IRIS Data with MUSTANG

Cited by 52 publications

References 13 publications

Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications

Updated Global Reference Models of Broadband Coherent Infrasound Signals for Atmospheric Studies and Civilian Applications

Achievements and Prospects of Global Broadband Seismographic Networks After 30 Years of Continuous Geophysical Observations

Exploring Approaches for Large Data in Seismology: User and Data Repository Perspectives

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