Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings
Abstract In this research, we present a local Moho model, named MOHV19, including Moho depth and Moho density contrast (or shortly Moho constituents) with corresponding uncertainties, which are mapped from altimetric and gravimetric data (DSNSC08) in addition to seismic tomographic (CRUST1.0) and Ea...
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crdegruyter:10.1515/jag-2019-0011 2024-09-15T18:14:27+00:00 Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings Abrehdary, M. Sjöberg, L. E. Swedish National Space Board 2019 http://dx.doi.org/10.1515/jag-2019-0011 http://www.degruyter.com/view/j/jag.2019.13.issue-4/jag-2019-0011/jag-2019-0011.xml https://www.degruyter.com/document/doi/10.1515/jag-2019-0011/xml https://www.degruyter.com/document/doi/10.1515/jag-2019-0011/pdf en eng Walter de Gruyter GmbH http://creativecommons.org/licenses/by/4.0 Journal of Applied Geodesy volume 13, issue 4, page 291-303 ISSN 1862-9024 1862-9016 journal-article 2019 crdegruyter https://doi.org/10.1515/jag-2019-0011 2024-07-15T04:10:55Z Abstract In this research, we present a local Moho model, named MOHV19, including Moho depth and Moho density contrast (or shortly Moho constituents) with corresponding uncertainties, which are mapped from altimetric and gravimetric data (DSNSC08) in addition to seismic tomographic (CRUST1.0) and Earth topographic data (Earth2014) to a resolution of 1° × 1° based on a solution of Vening Meinesz-Moritz’ theory of isostasy. The MOHV19 model covers the area of entire European plate along with the surrounding oceans, bounded by latitudes (30 °N–82 °N) and longitudes (40 °W–70 °E). The article aims to interpret the Moho model resulted via altimetric and gravimetric information from the geological and geophysical perspectives along with investigating the relation between the Moho depth and Moho density contrast. Our numerical results show that estimated Moho depths range from 7.5 to 57.9 km with continental and oceanic averages of 41.3 ± 4.9 km and 21.6 ± 9.2 km, respectively, and an overall average of 30.9 ± 12.3 km. The estimated Moho density contrast ranges from 60.2 to 565.8 kg/m 3 , with averages of 421.8 ± 57.9 and 284.4 ± 62.9 kg/m 3 for continental and oceanic regions, respectively, with a total average of 350.3 ± 91.5 kg/m 3 . In most areas, estimated uncertainties in the Moho constituents are less than 3 km and 40 kg/m 3 , respectively, but they reach to much more significant values under Iceland, parts of Gulf of Bothnia and along the Kvitoya Island. Comparing the Moho depths estimated by MOHV19 and those derived by CRUST1.0, MDN07, GRAD09 and MD19 models shows that MOHV19 agree fairly well with CRUST1.0 but rather poor with other models. The RMS difference between the Moho density contrasts estimated by MOHV19 and CRUST1.0 models is 49.45 kg/m 3 . Article in Journal/Newspaper Iceland Kvitoya De Gruyter Journal of Applied Geodesy 13 4 291 303 |
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English |
description |
Abstract In this research, we present a local Moho model, named MOHV19, including Moho depth and Moho density contrast (or shortly Moho constituents) with corresponding uncertainties, which are mapped from altimetric and gravimetric data (DSNSC08) in addition to seismic tomographic (CRUST1.0) and Earth topographic data (Earth2014) to a resolution of 1° × 1° based on a solution of Vening Meinesz-Moritz’ theory of isostasy. The MOHV19 model covers the area of entire European plate along with the surrounding oceans, bounded by latitudes (30 °N–82 °N) and longitudes (40 °W–70 °E). The article aims to interpret the Moho model resulted via altimetric and gravimetric information from the geological and geophysical perspectives along with investigating the relation between the Moho depth and Moho density contrast. Our numerical results show that estimated Moho depths range from 7.5 to 57.9 km with continental and oceanic averages of 41.3 ± 4.9 km and 21.6 ± 9.2 km, respectively, and an overall average of 30.9 ± 12.3 km. The estimated Moho density contrast ranges from 60.2 to 565.8 kg/m 3 , with averages of 421.8 ± 57.9 and 284.4 ± 62.9 kg/m 3 for continental and oceanic regions, respectively, with a total average of 350.3 ± 91.5 kg/m 3 . In most areas, estimated uncertainties in the Moho constituents are less than 3 km and 40 kg/m 3 , respectively, but they reach to much more significant values under Iceland, parts of Gulf of Bothnia and along the Kvitoya Island. Comparing the Moho depths estimated by MOHV19 and those derived by CRUST1.0, MDN07, GRAD09 and MD19 models shows that MOHV19 agree fairly well with CRUST1.0 but rather poor with other models. The RMS difference between the Moho density contrasts estimated by MOHV19 and CRUST1.0 models is 49.45 kg/m 3 . |
author2 |
Swedish National Space Board |
format |
Article in Journal/Newspaper |
author |
Abrehdary, M. Sjöberg, L. E. |
spellingShingle |
Abrehdary, M. Sjöberg, L. E. Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
author_facet |
Abrehdary, M. Sjöberg, L. E. |
author_sort |
Abrehdary, M. |
title |
Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
title_short |
Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
title_full |
Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
title_fullStr |
Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
title_full_unstemmed |
Recovering Moho constituents from satellite altimetry and gravimetric data for Europe and surroundings |
title_sort |
recovering moho constituents from satellite altimetry and gravimetric data for europe and surroundings |
publisher |
Walter de Gruyter GmbH |
publishDate |
2019 |
url |
http://dx.doi.org/10.1515/jag-2019-0011 http://www.degruyter.com/view/j/jag.2019.13.issue-4/jag-2019-0011/jag-2019-0011.xml https://www.degruyter.com/document/doi/10.1515/jag-2019-0011/xml https://www.degruyter.com/document/doi/10.1515/jag-2019-0011/pdf |
genre |
Iceland Kvitoya |
genre_facet |
Iceland Kvitoya |
op_source |
Journal of Applied Geodesy volume 13, issue 4, page 291-303 ISSN 1862-9024 1862-9016 |
op_rights |
http://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1515/jag-2019-0011 |
container_title |
Journal of Applied Geodesy |
container_volume |
13 |
container_issue |
4 |
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291 |
op_container_end_page |
303 |
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1810452211836125184 |