Synthetic geological hiatus maps as a tool for assessing reconstructions of past dynamic topography

Abstract Geological hiatus maps provide a proxy for dynamic topography spanning back approximately 165 Myr, providing a new data set to test global mantle circulation models (MCMs). Here, we show how these maps can be generated synthetically from the dynamic topography predictions of an MCM and used for model assessment. Filtering the model predictions into an equivalent synthetic data set is required prior to a direct comparison to the observed maps—analogous to the tomographic filtering of MCM outputs. The dynamic topography field of our reference MCM has overestimated amplitudes at the longest wavelengths (l≤4) by a factor of approximately two, which is a common property of geodynamic models. We find that this in turn results in synthetic hiatus maps with overestimated hiatus areas in Africa and Europe, as well as slower temporal changes than the observed maps. Altering the dynamic topography spectrum to match present-day observations significantly improves the match to the observed hiatus maps. We therefore find that the synthetic hiatus maps can be used to assess the past dynamic topography predictions of MCMs, and that a model which better fits the present-day spectrum of dynamic topography also provides better predictions in the past, as expected.

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Publication Details

Journal
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2026-01-15
DOI
https://doi.org/10.1098/rspa.2025.0249
Primary Topic
High-pressure geophysics and materials
Type
article
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article

Synthetic geological hiatus maps as a tool for assessing reconstructions of past dynamic topography

Ingo Stotz, Hamish Brown, Berta Vilacís, Hans-Peter Bunge
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
High-pressure geophysics and materials
article

Synthetic geological hiatus maps as a tool for assessing reconstructions of past dynamic topography

Ingo Stotz, Hamish Brown, Berta Vilacís, Hans-Peter Bunge
article en

Abstract

Abstract Geological hiatus maps provide a proxy for dynamic topography spanning back approximately 165 Myr, providing a new data set to test global mantle circulation models (MCMs). Here, we show how these maps can be generated synthetically from the dynamic topography predictions of an MCM and used for model assessment. Filtering the model predictions into an equivalent synthetic data set is required prior to a direct comparison to the observed maps—analogous to the tomographic filtering of MCM outputs. The dynamic topography field of our reference MCM has overestimated amplitudes at the longest wavelengths (l≤4) by a factor of approximately two, which is a common property of geodynamic models. We find that this in turn results in synthetic hiatus maps with overestimated hiatus areas in Africa and Europe, as well as slower temporal changes than the observed maps. Altering the dynamic topography spectrum to match present-day observations significantly improves the match to the observed hiatus maps. We therefore find that the synthetic hiatus maps can be used to assess the past dynamic topography predictions of MCMs, and that a model which better fits the present-day spectrum of dynamic topography also provides better predictions in the past, as expected.

Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesVol. 482(2330)
Australian National University (AU), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 76%
High-pressure geophysics and materials
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