EGU24-9550, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-9550
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Robustness of new models of the Matuyama-Brunhes field reversal

Ahmed Nasser Mahgoub Ahmed1,2, Monika Korte1, and Sanja Panovska1
Ahmed Nasser Mahgoub Ahmed et al.
  • 1GFZ German Research Centre for Geosciences, Helmholtz Centre Potsdam, geomagnetism, Potsdam, Germany (anmahgoub@gmail.com)
  • 2Geology Department, Assiut University , Assiut, 71516, Egypt

Paleomagnetic data enables the global reconstruction of the Earth's magnetic field, allowing the investigation of significant global events like polarity reversal. When compared to prior polarity reversals, the most recent one, the Matuyama-Brunhes (MB), is the best recorded reversal event in terms of the amount of available paleomagnetic data. Nevertheless, the majority of these data have poor age control, and they are not distributed equally over the world. Few global spherical harmonic (SH) models have been presented so far for the MB; the most recent is the GGFMB model. These models investigated the evolution of the dipole and non-dipole field components during the reversal process, as well as the morphology of the magnetic field at core-mantle boundary and at the Earth's surface. However, the accuracy of the models features is limited by the aforementioned issues associated with the MB data. In this study, a set of eight SH models were generated for the MB from sub-sets of data, which were classified according to their geographic distribution, timescale reliability, temporal resolution, and type. Comparing the model outputs will allow us to assess how robustly the MB's models can resolve characteristics of the reversal.

How to cite: Ahmed, A. N. M., Korte, M., and Panovska, S.: Robustness of new models of the Matuyama-Brunhes field reversal, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9550, https://doi.org/10.5194/egusphere-egu24-9550, 2024.