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.
Funding source: Swedish National Space Agency
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.
References
[1] Abrehdary, M., Sjöberg, L.E., Bagherbandi, M. and Sampietro, D., 2017. Towards the Moho depth and Moho density contrast along with their uncertainties from seismic and satellite gravity observations. Journal of Applied Geodesy, 11, pp. 231–247.10.1515/jag-2017-0019Suche in Google Scholar
[2] Abrehdary, M., Sjöberg, L.E. and Sampietro, D., 2019. Contribution of satellite altimetry in modelling Moho density contrast in oceanic areas. Journal of Applied Geodesy, 13(1), pp. 33–40.10.1515/jag-2018-0034Suche in Google Scholar
[3] Abrehdary, M. and Sjöberg, L.E., 2020. Estimating a combined Moho model for marine areas via satellite altimetric-gravity and seismic crustal models. Studia Geophysica et Geodaetica, 64(1), pp. 1–25.10.1007/s11200-019-1067-0Suche in Google Scholar
[4] Abrehdary, M. and Sjöberg, L.E., 2021. Moho density contrast in Antarctica determined by satellite gravity and seismic models. Geophysical Journal International, 225(3), pp. 1952–1962.10.1093/gji/ggab069Suche in Google Scholar
[5] Anderson, D.L., 1989. Theory of the Earth. Blackwell Sci. Publ.Suche in Google Scholar
[6] Eshagh, M. and Hussain, M., 2016. An approach to Moho discontinuity recovery from on-orbit GOCE data with application over Indo-Pak region. Tectonophysics, 690, pp. 253–262.10.1016/j.tecto.2016.07.003Suche in Google Scholar
[7] Exxon, 1995. Tectonic Map of the World, 18 sheets, scale 1:10,000,000. Technical Report. Exxon, Houston, TX.Suche in Google Scholar
[8] Fullea, J., Lebedev, S., Martinec, Z. and Celli, N.L., 2021. WINTERC-G: mapping the upper mantle thermochemical heterogeneity from coupled geophysical–petrological inversion of seismic waveforms, heat flow, surface elevation and gravity satellite data. Geophysical Journal International, 226(1), pp. 146–191.10.1093/gji/ggab094Suche in Google Scholar
[9] Hirt, C. and Rexer, M., 2015. Earth2014: 1 arc-min shape, topography, bedrock and ice-sheet models–Available as gridded data and degree-10,800 spherical harmonics. International Journal of Applied Earth Observation and Geoinformation, 39, pp. 103–112.10.1016/j.jag.2015.03.001Suche in Google Scholar
[10] Mayer-Gürr, T., et al.2015. The combined satellite gravity field model GOCO05s. Presentation at EGU 2015, Vienna, April 2015.Suche in Google Scholar
[11] Meier, U., Curtis, A. and Trampert, J., 2007. Global crustal thickness from neural network inversion of surface wave data. Geophysical Journal International, 169(2), pp. 706–722.10.1111/j.1365-246X.2007.03373.xSuche in Google Scholar
[12] Moritz, H., 1990. The figure of the Earth: theoretical geodesy and the Earth’s interior. Karlsruhe: Wichmann.Suche in Google Scholar
[13] Kearey, P., Brooks, M. and Hill, I., 2002. An introduction to geophysical exploration (Vol. 4). John Wiley & Sons.Suche in Google Scholar
[14] Laske, G., Masters, G., Ma, Z. and Pasyanos, M.E., 2013. A New Global Crustal Model at 1x1 Degrees (CRUST1.0) (http://igppweb.ucsd.edu/~gabi/crust1.html).Suche in Google Scholar
[15] Pasyanos, M., Masters, G., Laske, G. and Ma, Z., 2012. Litho1.0 – an updated crust and lithospheric model of the Earth developed using multiple data constraints. Fall Meeting, AGU, San Francisco, Calif., Abstract: 3–7 Dec, 2012. 2.4.Suche in Google Scholar
[16] Reguzzoni, M. and Sampietro, D., 2015. GEMMA: An Earth crustal model based on GOCE satellite data. International Journal of Applied Earth Observation and Geoinformation, 35, pp. 31–43.10.1016/j.jag.2014.04.002Suche in Google Scholar
[17] Reguzzoni, M., Sampietro, D. and Sansò, F., 2013. Global Moho from the combination of the CRUST2.0 model and GOCE data. Geophysical Journal International, 195(1), pp. 222–237, ggt247.10.1093/gji/ggt247Suche in Google Scholar
[18] Sampietro, D., Reguzzoni, M. and Negretti, M., 2013. The GEMMA Crustal Model: First Validation and Data Distribution. ESA Special Publication (Vol. 722, p. 30).Suche in Google Scholar
[19] Sjöberg, L.E., 2009. Solving Vening Meinesz-Moritz inverse problem in isostasy. Geophysical Journal International, 179, pp. 1527–1536.10.1111/j.1365-246X.2009.04397.xSuche in Google Scholar
[20] Sjöberg, L.E., 2013. On the isostatic gravity anomaly and disturbance and their applications to Vening Meinesz-Moritz inverse problem of isostasy. Geophysical Journal International, 193, pp. 1277–1282.10.1093/gji/ggt008Suche in Google Scholar
[21] Sjöberg, L.E. and Abrehdary, M., 2021. The uncertainty of CRUST1.0. Journal of Applied Geodesy, 15(2), pp. 143–152.10.1515/jag-2020-0049Suche in Google Scholar
[22] Sjöberg, L.E. and Bagherbandi, M., 2011. A method of estimating the Moho density contrast with a tentative application of EGM2008 and CRUST2.0. Acta Geophysica, 59(3), pp. 502–525.10.2478/s11600-011-0004-6Suche in Google Scholar
[23] Szwillus, W., Afonso, J.C., Ebbing, J. and Mooney, W.D., 2019. Global crustal thickness and velocity structure from geostatistical analysis of seismic data. Journal of Geophysical Research: Solid Earth, 124(2), pp. 1626–1652.10.1029/2018JB016593Suche in Google Scholar
[24] Tenzer, R. and Bagherbandi, M., 2012. Reformulation of the Vening Meinesz-Moritz inverse problem of isostasy for isostatic gravity disturbances. International Journal of Geosciences, 3(5A), pp. 918–929.10.4236/ijg.2012.325094Suche in Google Scholar
[25] Tenzer, R., Bagherbandi, M. and Gladkikh, V., 2012. Signature of the upper mantle density structure in the refined gravity data. Computational Geosciences, 16(4), pp. 975–986.10.1007/s10596-012-9298-ySuche in Google Scholar
[26] Tenzer, R., Bagherbandi, M. and Vajda, P., 2013. Global model of the upper mantle lateral density structure based on combining seismic and isostatic models. Geosciences Journal, 17(1), pp. 65–73.10.1007/s12303-013-0009-zSuche in Google Scholar
[27] Zingerle, P., Pail, R., Gruber, T. and Oikonomidou, X., 2019. The experimental gravity field model XGM2019e.10.1007/s00190-020-01398-0Suche in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Construction of precise three-dimensional engineering control network with total station and laser tracker
- Combination of three global Moho density contrast models by a weighted least-squares procedure
- Optimization of baseline configuration in a GNSS network (Nile Delta network, Egypt) – A case study
- Investigation of determining the accuracy of spatial vectors by the satellite method in a real time mode
- Inter-annual oscillations of terrestrial water storage in Qinghai-Tibetan plateau from GRACE data
- Accuracy assessment of available airborne gravity data in the central western desert of Egypt
- Reduction as an improvement of a precise satellite positioning based on an ambiguity function
- Determination of local geometric geoid model for Kuwait
- The use of gravity data to determine orthometric heights at the Hong Kong territories
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Construction of precise three-dimensional engineering control network with total station and laser tracker
- Combination of three global Moho density contrast models by a weighted least-squares procedure
- Optimization of baseline configuration in a GNSS network (Nile Delta network, Egypt) – A case study
- Investigation of determining the accuracy of spatial vectors by the satellite method in a real time mode
- Inter-annual oscillations of terrestrial water storage in Qinghai-Tibetan plateau from GRACE data
- Accuracy assessment of available airborne gravity data in the central western desert of Egypt
- Reduction as an improvement of a precise satellite positioning based on an ambiguity function
- Determination of local geometric geoid model for Kuwait
- The use of gravity data to determine orthometric heights at the Hong Kong territories