Background Noise Characteristics at the IberArray Broadband Seismic Network

Díaz, Jordi; Villaseñor, Antonio; Morales, J.; Pazos, Antonio; Córdoba, Diego; Pulgar, J. A.; García-Lobón, J.L.; Harnafi, M.; Carbonell, Ramón; Muset, Josep Gallart

doi:10.1785/0120090085

Cited by 37 publications

(31 citation statements)

References 12 publications

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“…USArray (www.usarray.org) or IberArray (http:// iberarray.ictja.csic.es/; Díaz et al, 2010) represent the largescale temporary networks, whereas for example TRANSALP (Lippitsch et al, 2003) or BOHEMA (Plomerová et al, 2007) belong to small-scale passive experiments in central Europe. Participants of the AlpArray project, the European collaborative geoscience initiative, deployed the largest network of temporary broadband (BB) stations ever perPublished by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 99%

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Vecsey

Plomerová

Jedlička

et al. 2017

Geosci. Instrum. Method. Data Syst.

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Abstract. This paper focuses on major issues related to the data reliability and network performance of 20 broadband (BB) stations of the Czech (CZ) MOBNET (MOBile NETwork) seismic pool within the AlpArray seismic experiments. Currently used high-resolution seismological applications require high-quality data recorded for a sufficiently long time interval at seismological observatories and during the entire time of operation of the temporary stations. In this paper we present new hardware and software tools we have been developing during the last two decades while analysing data from several international passive experiments. The new tools help to assure the high-quality standard of broadband seismic data and eliminate potential errors before supplying data to seismological centres. Special attention is paid to crucial issues like the detection of sensor misorientation, timing problems, interchange of record components and/or their polarity reversal, sensor mass centring, or anomalous channel amplitudes due to, for example, imperfect gain. Thorough data quality control should represent an integral constituent of seismic data recording, preprocessing, and archiving, especially for data from temporary stations in passive seismic experiments. Large international seismic experiments require enormous efforts from scientists from different countries and institutions to gather hundreds of stations to be deployed in the field during a limited time period. In this paper, we demonstrate the beneficial effects of the procedures we have developed for acquiring a reliable large set of high-quality data from each group participating in field experiments. The presented tools can be applied manually or automatically on data from any seismic network.

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Section: Introductionmentioning

confidence: 99%

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Vecsey

Plomerová

Jedlička

et al. 2017

Geosci. Instrum. Method. Data Syst.

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“…Recent and well-known examples of major scientific projects that target improved resolution using temporary seismic networks are the USArray (www.usarray. org), IberArray (iberarray.ictja.csic.es; Díaz et al, 2010) and the on-going AlpArray project (www.alparray.ethz.ch). The main scientific goals drive the network geometry, instruments and installation choices.…”

Section: Introductionmentioning

confidence: 99%

Swiss-AlpArray temporary broadband seismic stations deployment and noise characterization

et al. 2016

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Abstract. AlpArray is a large collaborative seismological project in Europe that includes more than 50 research institutes and seismological observatories. At the heart of the project is the collection of top-quality seismological data from a dense network of broadband temporary seismic stations, in compliment to the existing permanent networks, that ensures a homogeneous station coverage of the greater Alpine region. This Alp Array Seismic Network (AASN) began operation in January 2016 and will have a duration of at least 2 years. In this work we report the Swiss contribution to the AASN, we concentrate on the site selection process, our methods for stations installation, data quality and data management. We deployed 27 temporary broadband stations equipped with STS-2 and Trillium Compact 120 s sensors.The deployment and maintenance of the temporary stations across 5 countries is managed by ETH Zurich and it is the result of a fruitful collaboration between five institutes in Europe.

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“…The difference remains small all along the spectra for the vertical component and becomes large for LPs recorded at horizontal components (more than 15 dB). The increased amplitudes of LP horizontal noise at temporary sites is a well-known phenomenon related to the poorer insulation from atmospheric variations (Wilson et al, 2002;Díaz et al, 2010). Ⓔ This phenomenon can also be seen in Figure S1, available in the electronic supplement to this article, which shows noise amplitudes for different instruments in the east-west direction.…”

Section: Characterization Of Background Noisementioning

confidence: 71%

“…1). This dense deployment in Portugal was designed to overlap in time with the IberArray deployment in Spain (Díaz et al, 2010). The two deployments shared similar characteristics and together provide a unique, homogeneous, dense coverage of Iberia.…”

Section: Introductionmentioning

confidence: 99%

Ambient Noise Recorded by a Dense Broadband Seismic Deployment in Western Iberia

Custódio¹,

Dias²,

Caldeira³

et al. 2014

Bulletin of the Seismological Society of America

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The West Iberia Lithosphere and Asthenosphere Structure (WILAS) project densely covered Portugal with broadband seismic stations for 2 yrs. Here we provide an overview of the deployment, and we characterize the network ambient noise and its sources. After explaining quality control, which includes the assessment of sensor orientation, we characterize the background noise in the short-period (SP), microseismic, and long-period (LP) bands. We observe daily variations of SP noise associated with anthropogenic activity. Temporary and permanent stations present very similar noise levels at all periods, except at horizontal LPs, where temporary stations record higher noise levels. We find that median noise levels are extremely homogeneous across the network in the microseismic band (3-20 s) but vary widely outside this range. The amplitudes of microseismic noise display a strong seasonal variation. The seasonality is dominated by very-long-period double-frequency microseisms (8 s), probably associated with winter storms. Stacks of ambient noise amplitudes show that some microseismic noise peaks are visible across the whole ground-motion spectrum, from 0.3 to 100 s. Periods of increased microseismic amplitudes generally correlate with ocean conditions offshore of Portugal. Some seismic records display an interesting 12 hr cycle of LP (100-s) noise, which might be related to atmospheric tides. Finally, we use plots of power spectral density versus time to monitor changes in LP instrumental response. The method allows the identification of the exact times at which LP response changes occur, which is required to improve the understanding of this instrumental artifact and to eventually correct data.

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Background Noise Characteristics at the IberArray Broadband Seismic Network

Cited by 37 publications

References 12 publications

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Swiss-AlpArray temporary broadband seismic stations deployment and noise characterization

Ambient Noise Recorded by a Dense Broadband Seismic Deployment in Western Iberia

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