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Contribution of satellite altimetry in modelling Moho density contrast in oceanic areas
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Geodesy and Satellite Positioning.
2019 (English)In: Journal of Applied Geodesy, ISSN 1862-9016, E-ISSN 1862-9024, Vol. 13, no 1, p. 33-40Article in journal (Refereed) Published
Abstract [en]

The determination of the oceanic Moho (or crust-mantle) density contrast derived from seismic acquisitions suffers from severe lack of data in large parts of the oceans, where have not yet been sufficiently covered by such data. In order to overcome this limitation, gravitational field models obtained by means of satellite altimetry missions can be proficiently exploited, as they provide global uniform information with a sufficient accuracy and resolution for such a task. In this article, we estimate a new Moho density contrast model named MDC2018, using the marine gravity field from satellite altimetry in combination with a seismic-based crustal model and Earth's topographic/bathymetric data. The solution is based on the theory leading to Vening Meinesz-Moritz's isostatic model. The study results in a high-accuracy Moho density contrast model with a resolution of 1° × 1° in oceanic areas. The numerical investigations show that the estimated density contrast ranges from 14.2 to 599.7 kg/m 3 with a global average of 293 kg/m 3 . In order to evaluate the accuracy of the MDC2018 model, the result was compared with some published global models, revealing that our altimetric model is able to image rather reliable information in most of the oceanic areas. However, the differences between this model and the published results are most notable along the coastal and polar zones, which are most likely due to that the quality and coverage of the satellite altimetry data are worsened in these regions.

Place, publisher, year, edition, pages
WALTER DE GRUYTER GMBH , 2019. Vol. 13, no 1, p. 33-40
Keywords [en]
Isostasy, Vening Meinesz-Moritz, Moho Density Contrast, satellite altimetry, GMG2014, MDC2018
National Category
Geophysics
Identifiers
URN: urn:nbn:se:kth:diva-248106DOI: 10.1515/jag-2018-0034ISI: 000461143900004Scopus ID: 2-s2.0-85055655330OAI: oai:DiVA.org:kth-248106DiVA, id: diva2:1307739
Note

QC 20190429

Available from: 2019-04-29 Created: 2019-04-29 Last updated: 2019-04-29Bibliographically approved

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Sjoberg, Lars E.

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