Very low frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset, called the ‘maw’ product, covers a very low frequency range of infrasound (0.02-0.07 Hz). The temporal resolution (time step and window length) is 30 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022.

Citation proposal
(2021) . Very low frequency data products of the International Monitoring System’s infrasound stations. https://gdk.gdi-de.org/geonetwork/srv/api/records/2c6e73de-ddf2-45bf-b049-aa127bd27769

Simple

Alternate title: Infrasound_maw_product

Date ( Publication ): 2021-11-08

Date ( Revision ): 2023-08-22

Identifier: 50aa5ae3-b97b-af5c-2985-32d32c7c46a5

Identifier: http://doi.org/10.25928/bgrseis_bblf-ifsd

Author

Hupe, Patrick

Author

Ceranna, Lars

Author

Le Pichon, Alexis

Author

Matoza, Robin

Author

Mialle, Pierrick

Status: onGoing On going

Point of contact

Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)

Stilleweg 2 Hannover 30655 Deutschland

Keywords ( Theme )

infrasound
International Monitoring System
IMS
CTBT
mountain-associated waves (maw)
fireball
volcano
atmosphere
geophysics
Infraschall
Kernwaffenteststopp
opendata

Access constraints: Other restrictions

Use constraints: Other restrictions

Other constraints: Licence: CC BY 4.0; in the event of further use, both the data product source and the accompanying open-access publication (Hupe et al., 2022; doi:10.5194/essd-14-4201-2022) must be cited. Lizenz: CC BY 4.0; bei Weiterverwendung sind sowohl die Datenproduktquelle als auch die zugehörige open-access Publikation (Hupe et al., 2022; doi:10.5194/essd-14-4201-2022) zu zitieren.

Other constraints: {"id": "cc-by/4.0", "name": "Creative Commons Namensnennung – 4.0 International (CC BY 4.0)", "url": "http://creativecommons.org/licenses/by/4.0/", "quelle": "Infrasound_maw_product © BGR, Hannover, 2021, doi:10.25928/bgrseis_bblf-ifsd"}

Spatial representation type: Text, table

Metadata language: German

Character set: UTF8

Topic category

Geoscientific information

Distribution format

netCDF (n/a )

Transfer size: 98

OnLine resource: Infrasound_maw_product (netCDF)
Infrasound_maw_product im Format netCDF

OnLine resource: Paper in ESSD-Journal
Paper in ESSD-Journal

OnLine resource: BGR-Website: CTBT
BGR-Website: CTBT

Hierarchy level: Dataset

Statement: As the German National Data Centre for the CTBT, BGR archives waveform data of IMS infrasound arrays and produces infrasound broadband detection lists using the Progressive Multi-Channel Correlation (PMCC) algorithm. The open-access products are derived from the detection lists. The data quality depends on the station performance and can be temporarily reduced, e.g. due to failures of the instruments or power outage. Therefore, additional quantities (e.g., the number of contributing sensors and a parameter that incorporates the number of available sensors, the correlation coefficient of the signals, and others) are provided with the data products at each time step. These enable assessing the relative quality of the data products, as described in Hupe et al. (2022). Additional PMCC metrics will be separately published.