A Set of Geophysical Fields for Modeling of the Lithosphere Structure and Dynamics in the Russian Arctic Zone
Anatoly Soloviev,
Alexey Petrunin,
Sofia Gvozdik () and
Roman Sidorov ()
Additional contact information
Anatoly Soloviev: Geophysical Center of the Russian Academy of Sciences (GC RAS), 119296 Moscow, Russia
Alexey Petrunin: Geophysical Center of the Russian Academy of Sciences (GC RAS), 119296 Moscow, Russia
Sofia Gvozdik: Geophysical Center of the Russian Academy of Sciences (GC RAS), 119296 Moscow, Russia
Roman Sidorov: Geophysical Center of the Russian Academy of Sciences (GC RAS), 119296 Moscow, Russia
Data, 2023, vol. 8, issue 5, 1-25
Abstract:
This paper presents a set of various geological and geophysical data for the Arctic zone, including some detailed models for the eastern part of the Russian Arctic zone. This hard-to-access territory has a complex geological structure, which is poorly studied by direct geophysical methods. Therefore, these data can be used in an integrative analysis for different purposes. These are the gravity field, heat flow, and various seismic tomography models. The gravity field data include several reductions calculated during our preceding studies, which are more appropriate for the study of the Earth’s interiors than the initial free air anomalies. Specifically, these are the Bouguer, isostatic, and decompensative gravity anomalies. A surface heat flow map included in the dataset is based on a joint inversion of multiple geophysical data constrained by the observations from the International Heat Flow Commission catalog. Available seismic tomography models were analyzed to select the best one for further investigation. We provide the models for the sedimentary cover and the Moho depth, which are significantly improved compared to the existing ones. The database provides a basis for qualitative and quantitative analysis of the region.
Keywords: Arctic zone; gravity field; heat flow; tomography model; Moho; sedimentary basins (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2306-5729/8/5/91/pdf (application/pdf)
https://www.mdpi.com/2306-5729/8/5/91/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:8:y:2023:i:5:p:91-:d:1146689
Access Statistics for this article
Data is currently edited by Ms. Cecilia Yang
More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().