2022
DOI: 10.3390/app12105010
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Integrated Earthquake Catalog of the Eastern Sector of the Russian Arctic

Abstract: The objective of this study was to create a representative earthquake catalog for the Eastern Sector of the Arctic zone of the Russian Federation that combines all available data from Russian and international seismological agencies, with magnitude reduction to a uniform scale. The article describes the catalog compilation algorithm, as well as formalized procedures for removing duplicates and choosing the optimal magnitude scale. Due to different network configurations and record processing methods, different… Show more

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Cited by 14 publications
(22 citation statements)
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“…As noted above, the author's method, used in the present study to identify duplicates that arise when earthquake catalogs are sequentially merged, is described in detail in [1] (see Supplementary Materials). The application of this method to create the most complete earthquake catalog with a unified magnitude scale for the Arctic zone of the Russian Federation is given in [4][5][6]. For this reason, a description of the method is not provided in this article.…”
Section: Methodsmentioning
confidence: 99%
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“…As noted above, the author's method, used in the present study to identify duplicates that arise when earthquake catalogs are sequentially merged, is described in detail in [1] (see Supplementary Materials). The application of this method to create the most complete earthquake catalog with a unified magnitude scale for the Arctic zone of the Russian Federation is given in [4][5][6]. For this reason, a description of the method is not provided in this article.…”
Section: Methodsmentioning
confidence: 99%
“…When merging catalogs, the preference is given to earthquake records from the ISC catalog that have magnitude definitions MW GCMT and/or mb ISC and/or mb NEIC [4][5][6]. As shown in Table 1, in the region considered, a large majority of seismic events are registered by GS RAS seismic networks.…”
Section: Merging Catalogsmentioning
confidence: 99%
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