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Methods for data and metadata quality tests of large dense seismic networks– focus on AdriaArray

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F25%3A00641526" target="_blank" >RIV/67985530:_____/25:00641526 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.annalsofgeophysics.eu/index.php/annals/article/view/9328" target="_blank" >https://www.annalsofgeophysics.eu/index.php/annals/article/view/9328</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4401/ag-9328" target="_blank" >10.4401/ag-9328</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Methods for data and metadata quality tests of large dense seismic networks– focus on AdriaArray

  • Original language description

    Data quality checks are essential for any broad‑band seismological network, and in particular for data of temporary passive seismic experiments. These data quality checks concern (i) the availability and retrievability of the data from public data archives, (ii) the noise conditions at the stations, (iii) formal properties and the correctness of metadata, (iv) the mutual consistency between data and metadata, and finally (v) the quality of the data itself. Methods for these checks are introduced and applied to the AdriaArray Seismic Network. We present techniques for evaluating the quality of individual stations as well as techniques that allow us to detect outlying amplitudes and arrival times in case of a dense network. Results of the tests are summarized in the form of maps and in addition, details are given in an online repository. Our checks are continuously repeated and results are updated to secure high data quality. The aim of our study is to provide the user with useful information on the quality of AdriaArray data, as well as with suggestions for their own data quality assessment. In addition, the presented data quality checks form the basis for data curation by station and network operators. The suggested approaches can also be applied to other large dense seismic networks.n

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10507 - Volcanology

Result continuities

  • Project

    <a href="/en/project/GA23-06370S" target="_blank" >GA23-06370S: Recognition of remote velocity anomalies in the upper mantle</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Annals of Geophysics

  • ISSN

    1593-5213

  • e-ISSN

    2037-416X

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    68

  • Country of publishing house

    IT - ITALY

  • Number of pages

    31

  • Pages from-to

    DM571

  • UT code for WoS article

    001663496000017

  • EID of the result in the Scopus database

    2-s2.0-105023494628