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Combination of three global Moho density contrast models by a weighted least-squares procedure
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering. Division of Geodesy and Satellite Positioning, Royal Institute of Technology (KTH), SE-100 44 Stockholm (SWE).ORCID iD: 0000-0001-7810-8829
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.
2022 (English)In: Journal of Applied Geodesy, ISSN 1862-9016, E-ISSN 1862-9024, Vol. 16, no 4, p. -339Article in journal (Refereed) Published
Abstract [en]

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. © 2022 Walter de Gruyter GmbH, Berlin/Boston 2022.

Place, publisher, year, edition, pages
De Gruyter Open, 2022. Vol. 16, no 4, p. -339
Keywords [en]
Errors; Structural geology; Contrast models; Global models; Least Square; Least-square combination; Least-square procedure; Moho; Moho density contrast; Mohorovičić discontinuity; Standard errors; Weighted least-squares; Pixels
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:hv:diva-18511DOI: 10.1515/jag-2022-0004ISI: 000790948400001Scopus ID: 2-s2.0-85130804668OAI: oai:DiVA.org:hv-18511DiVA, id: diva2:1707353
Note

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

Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2022-11-03Bibliographically approved

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Sjöberg, LarsAbrehdary, Majid

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