Contribution of satellite altimetry in modelling Moho density contrast in oceanic areas
Autor: | D. Sampietro, Lars E. Sjöberg, Majid Abrehdary |
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Rok vydání: | 2018 |
Předmět: |
010504 meteorology & atmospheric sciences
biology Moho 010502 geochemistry & geophysics biology.organism_classification Geodesy 01 natural sciences Modeling and Simulation Satellite altimetry Isostasy Earth and Planetary Sciences (miscellaneous) Density contrast Engineering (miscellaneous) Geology 0105 earth and related environmental sciences |
Zdroj: | Journal of Applied Geodesy. 13:33-40 |
ISSN: | 1862-9024 1862-9016 |
DOI: | 10.1515/jag-2018-0034 |
Popis: | 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/m3 with a global average of 293 kg/m3. 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. |
Databáze: | OpenAIRE |
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