Startseite Combination of three global Moho density contrast models by a weighted least-squares procedure
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Combination of three global Moho density contrast models by a weighted least-squares procedure

  • Lars E. Sjöberg ORCID logo EMAIL logo und Majid Abrehdary
Veröffentlicht/Copyright: 6. Mai 2022
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Abstract

Due to different structures of the Earth’s crust and mantle, there is a significant density contrast at their boundary, the Moho Density Contrast (or shortly MDC). Frequently one assumes that the MDC is about 600 kg/m3, but seismic and gravimetric data show a considerable variation from region to region, and today there are few such studies, and global models are utterly rare.

This research determines a new global model, called MDC21, which is a weighted least-squares combination of three available MDC models, pixel by pixel at a resolution of 1° × 1°. For proper weighting among the models, the study starts by estimating lacking standard errors and (frequently high) correlations among them.

The numerical investigation shows that MDC21 varies from 21 to 504 kg/m3 in ocean areas and ranges from 132 to 629 kg/m3 in continental regions. The global average is 335 kg/m3. The standard errors estimated in ocean regions are mostly less than 40 kg/m3, while for continental regions it grows to 80 kg/m3. Most standard errors are small, but they reach to notable values in some specific regions. The estimated MDCs (as well as Moho depths) at mid-ocean ridges are small but show significant variations and qualities.

Award Identifier / Grant number: 187/18

Funding statement: This study was supported by project no. 187/18 of the Swedish National Space Agency (SNSA).

Data availability

The data sets generated and/or analyzed during the current study are available from the second author on reasonable request.

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Received: 2022-01-24
Accepted: 2022-03-23
Published Online: 2022-05-06
Published in Print: 2022-10-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 1.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jag-2022-0004/html?lang=de
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