Langanzeige der Metadaten
DC ElementWertSprache
dc.contributor.authorFinger, Claudia-
dc.contributor.authorSaenger, Erik-
dc.date.accessioned2023-11-13T09:52:00Z-
dc.date.available2023-11-13T09:52:00Z-
dc.date.issued2023-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/360-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/302-
dc.description.abstractWe present a continuous seismic waveform dataset created with the rotated staggered-grid finite-difference simulator HeidimodX (Saenger et al., 2000). The aim of the dataset is to recreate the random nature of ambient seismic noise using numerous synthetic point sources with arbitrary source parameters and locations. Three-component waveforms are recorded at the free surface of a three-dimensional model with two different velocity structures. This dataset can be used to benchmark and test robustness of different methodologies typically applied to ambient noise data.en
dc.description.sponsorshipThis project has been subsidized through the Cofund GEOTHERMICA, which is supported by the European Union's HORIZON 2020 programme for research, technological development and demonstration under grant agreement no. 731117 (DEEP). The german sub-project DEEP-SIGHT has been funded by the 'Bundesministerium für Wirtschaft und Klimaschutz (BMWK)' under project number 03EE4016. The author's gratefully acknowledge the Gauss Centre for Supercomputing e.V. for funding this project by providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUWELS at Jülich Supercomputing Centre (JSC).en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddcDDC::500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologieen
dc.titleSynthetic ambient seismic noise dataset for testing ambient-noise methodsen
dc.typeOtheren
dc.contributor.funderBundesministerium für Wirtschaft und Klimaschutz BMWK (Deutschland)en
dc.description.technicalinformationData is provided in big-endian binary format and can be read on every operating system. An example code snippet to read the data in python is provided in the attached pdf documentation.en
fordatis.groupEnergietechnologien und Klimaschutzen
fordatis.instituteIEG Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermieen
fordatis.rawdatatrueen
fordatis.sponsorship.projectid03EE4016en
fordatis.sponsorship.projectnameSeismische Überwachung und Charakterisierung von drei geothermischen Fallstudienstandortenen
fordatis.sponsorship.projectacronymDEEP-SIGHTen
fordatis.date.start2021-
fordatis.date.end2023-
Enthalten in den Sammlungen:Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie IEG

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
README_data_description.pdf88,25 kBAdobe PDFÖffnen/Download
vel1_arbxseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
vel1_arbyseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
vel1_receiver_locations.txt15,97 kBTextÖffnen/Download
vel1_source_locations.txt387,76 kBTextÖffnen/Download
vel1_arbzseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
vel2_arbxseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
vel2_arbyseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
vel2_receiver_locations.txt15,97 kBTextÖffnen/Download
vel2_source_locations.txt387,76 kBTextÖffnen/Download
vel2_arbzseis_nreceivers441_308000samples530,58 MBUnknownÖffnen/Download
Zur Kurzanzeige


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons