Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-99-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-25-99-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation
Marie Bocher
CORRESPONDING AUTHOR
Computational Seismology, Institute of Geophysics, Department of
Earth Sciences, ETH Zürich, Sonneggstrasse 5, 8092 Zürich, Switzerland
Laboratoire de Géologie de Lyon, Université Claude
Bernard Lyon 1, Ecole Normale Supṕrieure de Lyon, Lyon, France
Alexandre Fournier
Institut de Physique du Globe de Paris, Sorbonne Paris Cité,
Université Paris Diderot, CNRS (UMR 7154), Paris, France
Nicolas Coltice
Laboratoire de Géologie de Lyon, Université Claude
Bernard Lyon 1, Ecole Normale Supṕrieure de Lyon, Lyon, France
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The "Did this really happen?!" project aims at publishing real-life, everyday sexism in the form of comic strips. Its major goal is to raise awareness about unconscious biases that transpire in everyday interactions in academia and increase the visibility of sexist situations that arise within the scientific community, especially to those who might not notice it. In this publication, we present the project and the different recurring sexist behaviours identified in the collected stories.
T. Nissen-Meyer, M. van Driel, S. C. Stähler, K. Hosseini, S. Hempel, L. Auer, A. Colombi, and A. Fournier
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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Solid earth, continental surface, biogeochemistry
Modelling of the terrain effect in magnetotelluric data from the Garhwal Himalaya region
Uncertainties, complexities and possible forecasting of Volcán de Colima energy emissions (Mexico, years 2013–2015) based on a fractal reconstruction theorem
The joint application of a metaheuristic algorithm and a Bayesian statistics approach for uncertainty and stability assessment of nonlinear magnetotelluric data
On parameter bias in earthquake sequence models using data assimilation
An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model
Inhomogeneous precursor characteristics of rock with prefabricated cracks before fracture and its implication for earthquake monitoring
An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data
Magnitude correlations in a self-similar aftershock rates model of seismicity
Inverting Rayleigh surface wave velocities for crustal thickness in eastern Tibet and the western Yangtze craton based on deep learning neural networks
The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
Utsu aftershock productivity law explained from geometric operations on the permanent static stress field of mainshocks
Estimation of the total magnetization direction of approximately spherical bodies
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat
Nonlin. Processes Geophys., 31, 175–184, https://doi.org/10.5194/npg-31-175-2024, https://doi.org/10.5194/npg-31-175-2024, 2024
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This work explores the effect of topography on magnetotelluric (MT) data along a synthetic model of the Roorkee–Gangotri profile (RGP). Two correction procedures were used to remove topography distortion from MT data. Flat-earth and terrain correction responses (TCRs) show that both procedures are capable of removing the topography effect. The similar topographic response and TCRs confirm that there is no need for topography correction along the RGP, as the slope angle is less than 1°.
Marisol Monterrubio-Velasco, Xavier Lana, and Raúl Arámbula-Mendoza
Nonlin. Processes Geophys., 30, 571–583, https://doi.org/10.5194/npg-30-571-2023, https://doi.org/10.5194/npg-30-571-2023, 2023
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Effusive–explosive volcanic energy emissions are a complex and dynamic physical phenomenon. The complexity of this process for the Volcán de Colima along the years 2013–2015 is analysed by means of the reconstruction theorem being determined by the persistence, complexity and “loss of memory” of the physical mechanism. The results suggest that appropriate forecasting algorithms could be applied to determine forthcoming high-energy emissions.
Mukesh, Kuldeep Sarkar, and Upendra K. Singh
Nonlin. Processes Geophys., 30, 435–456, https://doi.org/10.5194/npg-30-435-2023, https://doi.org/10.5194/npg-30-435-2023, 2023
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A hybrid weighted particle swarm optimization (wPSO) and gravitational search algorithm (GSA) is compared with individual PSO and GSA methods to assess 1-D resistivity models from magnetotelluric data across diverse geological terrains. This involved creating numerous models to match apparent resistivity and phase curves, selecting the best-fit models, and conducting posterior PDF, correlation matrix, and stability analysis to improve the mean model's accuracy with minimized uncertainty.
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.
Reyko Schachtschneider, Jan Saynisch-Wagner, Volker Klemann, Meike Bagge, and Maik Thomas
Nonlin. Processes Geophys., 29, 53–75, https://doi.org/10.5194/npg-29-53-2022, https://doi.org/10.5194/npg-29-53-2022, 2022
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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.
Guilherme L. Torres Mendonça, Julia Pongratz, and Christian H. Reick
Nonlin. Processes Geophys., 28, 501–532, https://doi.org/10.5194/npg-28-501-2021, https://doi.org/10.5194/npg-28-501-2021, 2021
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Linear response functions are a powerful tool to both predict and investigate the dynamics of a system when subjected to small perturbations. In practice, these functions must often be derived from perturbation experiment data. Nevertheless, current methods for this identification require a tailored perturbation experiment, often with many realizations. We present a method that instead derives these functions from a single realization of an experiment driven by any type of perturbation.
Guilherme L. Torres Mendonça, Julia Pongratz, and Christian H. Reick
Nonlin. Processes Geophys., 28, 533–564, https://doi.org/10.5194/npg-28-533-2021, https://doi.org/10.5194/npg-28-533-2021, 2021
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We apply a new identification method to derive the response functions that characterize the sensitivity of the land carbon cycle to CO2 perturbations in an Earth system model. By means of these response functions, which generalize the usually employed single-valued sensitivities, we can reliably predict the response of the land carbon to weak perturbations. Further, we demonstrate how by this new method one can robustly derive and interpret internal spectra of timescales of the system.
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.
Siming He, Jian Guan, Xiu Ji, Hang Xu, and Yi Wang
Nonlin. Processes Geophys., 28, 247–256, https://doi.org/10.5194/npg-28-247-2021, https://doi.org/10.5194/npg-28-247-2021, 2021
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We propose an enhanced correlation identification (ECI) algorithm to attenuate background noise. The cross-correlation matching method is helpful for the extraction of useful components of the raw SSIP data and suppression of background noise. Experiments on both synthetic and real SSIP data show that the ECI algorithm is proposed to preserve the valid information of the raw SSIP data to display the actual location and shape of adjacent high-resistivity anomalies.
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.
Xianqiong Cheng, Qihe Liu, Pingping Li, and Yuan Liu
Nonlin. Processes Geophys., 26, 61–71, https://doi.org/10.5194/npg-26-61-2019, https://doi.org/10.5194/npg-26-61-2019, 2019
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This paper is based on a deep learning neural network to invert the Rayleigh surface wave velocity of the crustal thickness, which is a new geophysical inversion solution that proved to be effective and practical. Through comparative experiments, we found that deep learning neural networks can more accurately reveal the non-linear relationship between phase velocity and crustal thickness than traditional shallow networks. Deep learning neural networks are more efficient than Monte Carlo methods.
Stefano Pierini, Mickaël D. Chekroun, and Michael Ghil
Nonlin. Processes Geophys., 25, 671–692, https://doi.org/10.5194/npg-25-671-2018, https://doi.org/10.5194/npg-25-671-2018, 2018
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A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis makes use of ensemble simulations and of the system's pullback attractors. A new diagnostic method characterizes the transition to chaos: this is found to occur abruptly at a critical value and begins with the intermittent emergence of periodic oscillations with distinct phases.
Arnaud Mignan
Nonlin. Processes Geophys., 25, 241–250, https://doi.org/10.5194/npg-25-241-2018, https://doi.org/10.5194/npg-25-241-2018, 2018
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The Utsu productivity law, one of the main relationships in seismicity statistics, gives the average number of aftershocks produced by a mainshock of a given magnitude. I demonstrate that the law can be formulated in the solid seismicity theory, where it is parameterized in terms of aftershock density within a geometrical solid, constrained by the mainshock size. This suggests that aftershocks can be studied by applying simple rules of analytic geometry on a static stress field.
V. C. Oliveira Jr., D. P. Sales, V. C. F. Barbosa, and L. Uieda
Nonlin. Processes Geophys., 22, 215–232, https://doi.org/10.5194/npg-22-215-2015, https://doi.org/10.5194/npg-22-215-2015, 2015
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We have developed a fast total-field anomaly inversion to estimate the magnetization direction of multiple sources with approximately spherical shapes and known centres. It requires neither the prior computation of any transformation-like reduction to the pole nor the use of regularly spaced data on a horizontal grid. The method contains flexibility to be implemented as a linear or non-linear inverse problem. Applications to synthetic and field data show the good performance of our method.
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Short summary
We propose a new method to reconstruct the circulation in the Earth's mantle for the last 300 Myr. This method is based on the sequential assimilation of plate layouts obtained from plate tectonic reconstructions into mantle convection models. This method allows us to take into account uncertainties in plate tectonic reconstructions, and provides an estimation of the uncertainties in the final result. We test and validate this method in a controlled environment by using synthetic experiments.
We propose a new method to reconstruct the circulation in the Earth's mantle for the last...