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
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Czech description
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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