Articles | Volume 29, issue 1
https://doi.org/10.5194/npg-29-53-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-29-53-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2022
Research article |
| 17 Feb 2022
| 17 Feb 2022
An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model
Reyko Schachtschneider
CORRESPONDING AUTHOR
Earth System Modelling, Department Geodesy, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Jan Saynisch-Wagner
Earth System Modelling, Department Geodesy, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Volker Klemann
Earth System Modelling, Department Geodesy, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Meike Bagge
Earth System Modelling, Department Geodesy, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Maik Thomas
Earth System Modelling, Department Geodesy, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Institute for Meteorology, Freie Universität Berlin, Kaiserswerther Str. 16–18, 14195 Berlin, Germany
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Johannes Petereit, Jan Saynisch, Christopher Irrgang, Tobias Weber, and Maik Thomas
Ocean Sci., 14, 515–524, https://doi.org/10.5194/os-14-515-2018, https://doi.org/10.5194/os-14-515-2018, 2018
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Clim. Past Discuss., https://doi.org/10.5194/cp-2018-50, https://doi.org/10.5194/cp-2018-50, 2018
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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Solid earth, continental surface, biogeochemistry | Techniques: Simulation
On parameter bias in earthquake sequence models using data assimilation
Inhomogeneous precursor characteristics of rock with prefabricated cracks before fracture and its implication for earthquake monitoring
Magnitude correlations in a self-similar aftershock rates model of seismicity
Arundhuti Banerjee, Ylona van Dinther, and Femke C. Vossepoel
Nonlin. Processes Geophys., 30, 101–115, https://doi.org/10.5194/npg-30-101-2023, https://doi.org/10.5194/npg-30-101-2023, 2023
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The feasibility of physics-based forecasting of earthquakes depends on how well models can be calibrated to represent earthquake scenarios given uncertainties in both models and data. Our study investigates whether data assimilation can estimate current and future fault states in the presence of a bias in the friction parameter.
Andong Xu, Yonghong Zhao, Muhammad Irfan Ehsan, Jiaying Yang, Qi Zhang, and Ru Liu
Nonlin. Processes Geophys., 28, 379–407, https://doi.org/10.5194/npg-28-379-2021, https://doi.org/10.5194/npg-28-379-2021, 2021
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Earthquake precursors and earthquake monitoring are always important in the earthquake research field, even if there is still debate about the existence of earthquake precursors. The existence of precursory signals is confirmed by our results. We then attempt to capture and quantity precursors before rock fracture, by which we establish a link between the rock experiments and natural earthquakes. We try to make a different type of analysis by comparing their similar characteristics.
Andres F. Zambrano Moreno and Jörn Davidsen
Nonlin. Processes Geophys., 27, 1–9, https://doi.org/10.5194/npg-27-1-2020, https://doi.org/10.5194/npg-27-1-2020, 2020
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We study a model containing the characteristic of self-similarity (invariance under scale) which allows for scaling between lab experiments and geographical-scale seismicity. Particular to this model is the dependency of the earthquake rates on the magnitude difference between events that are causally connected. We present results of a statistical analysis of magnitude correlations for the model along with its implications for the ongoing efforts in earthquake forecasting.
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Short summary
Glacial isostatic adjustment is the delayed reaction of the Earth's lithosphere and mantle to changing mass loads of ice sheets or water. The deformation behaviour of the Earth's surface depends on the ability of the Earth's mantle to flow, i.e. its viscosity. It can be estimated from sea level observations, and in our study, we estimate mantle viscosity using sea level observations from the past. This knowledge is essential for understanding current sea level changes due to melting ice.
Glacial isostatic adjustment is the delayed reaction of the Earth's lithosphere and mantle to...
