The article describes the experience of setting and solving the inverse problem of determining the velocity of shear waves under the Caucasus from surface wave dispersion curves using a high-performance distributed grid cluster. It is about options for adapting programs written for personal computers for modern high-performance clusters. Various models for assessing the velocity structure of the Caucasus and their suitability for the programs used are considered. It is concluded that the three-layer model of the crust does not fit the data well enough, which requires changes to the source program code. Also shows the fundamental possibility of using distributed computing systems such as GRID to solve inverse problems of Earth Physics. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Original languageEnglish
Title of host publicationProblems of Geocosmos—2024 (ICS 2024)
PublisherSpringer Nature
Pages165-177
Number of pages13
DOIs
StatePublished - 2026
EventProblems of Geocosmos—2024 - Петергоф, ул. Ульяновская д.1, НИИ Физики им. В.А.Фока, Санкт-Петербург, Russian Federation
Duration: 22 Apr 202426 Apr 2024
Conference number: 15
https://events.spbu.ru/events/geocosmos-2024
https://events.spbu.ru/events/geocosmos-2024?ysclid=lxlrfdjmhj251872220
https://equinocs.springernature.com/service/ics

Publication series

NameSpringer Proceedings in Earth and Environmental Sciences
VolumePart F1503

Conference

ConferenceProblems of Geocosmos—2024
Country/TerritoryRussian Federation
CityСанкт-Петербург
Period22/04/2426/04/24
Internet address

    Research areas

  • Ambient noise tomography, GRID, HPC, Inverse problem, S-wave velocities, Surface wave tomography

ID: 150628273