Articles | Volume 17, issue 23
https://doi.org/10.5194/gmd-17-8535-2024
https://doi.org/10.5194/gmd-17-8535-2024
Development and technical paper
 | 
02 Dec 2024
Development and technical paper |  | 02 Dec 2024

A fast surrogate model for 3D Earth glacial isostatic adjustment using Tensorflow (v2.8.0) artificial neural networks

Ryan Love, Glenn A. Milne, Parviz Ajourlou, Soran Parang, Lev Tarasov, and Konstantin Latychev

Related authors

Exploring the climate system response to a range of freshwater representations: Hosing, Regional, and Freshwater Fingerprints
Ryan Love, Lev Tarasov, Heather Andres, Alan Condron, Xu Zhang, and Gerrit Lohmann
EGUsphere, https://doi.org/10.5194/egusphere-2023-2225,https://doi.org/10.5194/egusphere-2023-2225, 2023
Preprint archived
Short summary
Freshwater routing in eddy-permitting simulations of the last deglacial: the impact of realistic freshwater discharge
Ryan Love, Heather J. Andres, Alan Condron, and Lev Tarasov
Clim. Past, 17, 2327–2341, https://doi.org/10.5194/cp-17-2327-2021,https://doi.org/10.5194/cp-17-2327-2021, 2021
Short summary

Related subject area

Solid Earth
Three-dimensional analytical solution of self-potential from regularly polarized bodies in a layered seafloor model
Pengfei Zhang, Yi-an Cui, Jing Xie, Youjun Guo, Jianxin Liu, and Jieran Liu
Geosci. Model Dev., 17, 8521–8533, https://doi.org/10.5194/gmd-17-8521-2024,https://doi.org/10.5194/gmd-17-8521-2024, 2024
Short summary
Accelerated pseudo-transient method for elastic, viscoelastic, and coupled hydro-mechanical problems with applications
Yury Alkhimenkov and Yury Y. Podladchikov
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-160,https://doi.org/10.5194/gmd-2024-160, 2024
Revised manuscript accepted for GMD
Short summary
ShellSet v1.1.0 parallel dynamic neotectonic modelling: a case study using Earth5-049
Jon B. May, Peter Bird, and Michele M. C. Carafa
Geosci. Model Dev., 17, 6153–6171, https://doi.org/10.5194/gmd-17-6153-2024,https://doi.org/10.5194/gmd-17-6153-2024, 2024
Short summary
FastIsostasy v1.0 – a regional, accelerated 2D glacial isostatic adjustment (GIA) model accounting for the lateral variability of the solid Earth
Jan Swierczek-Jereczek, Marisa Montoya, Konstantin Latychev, Alexander Robinson, Jorge Alvarez-Solas, and Jerry Mitrovica
Geosci. Model Dev., 17, 5263–5290, https://doi.org/10.5194/gmd-17-5263-2024,https://doi.org/10.5194/gmd-17-5263-2024, 2024
Short summary
Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time
Sia Ghelichkhan, Angus Gibson, D. Rhodri Davies, Stephan C. Kramer, and David A. Ham
Geosci. Model Dev., 17, 5057–5086, https://doi.org/10.5194/gmd-17-5057-2024,https://doi.org/10.5194/gmd-17-5057-2024, 2024
Short summary

Cited articles

Afonso, J. C., Salajegheh, F., Szwillus, W., Ebbing, J., and Gaina, C.: A global reference model of the lithosphere and upper mantle from joint inversion and analysis of multiple data sets, Geophys. J. Int., 217, 1602–1628, https://doi.org/10.1093/gji/ggz094, 2019. a, b, c
Auer, L., Boschi, L., Becker, T. W., Nissen-Meyer, T., and Giardini, D.: Savani: A variable resolution whole-mantle model of anisotropic shear velocity variations based on multiple data sets, J. Geophys. Res.-Sol. Ea., 119, 3006–3034, https://doi.org/10.1002/2013jb010773, 2014. a, b
Austermann, J., Mitrovica, J. X., Latychev, K., and Milne, G. A.: Barbados-based estimate of ice volume at Last Glacial Maximum affected by subducted plate, Nat. Geosci., 6, 553–557, https://doi.org/10.1038/ngeo1859, 2013. a
Bagge, M., Klemann, V., Steinberger, B., Latinović, M., and Thomas, M.: Glacial-isostatic adjustment models using geodynamically constrained 3D Earth structures, Geochem. Geophy. Geosy., 22, e2021GC009853, https://doi.org/10.1029/2021GC009853, 2021. a
Download
Short summary
A relatively recent advance in glacial isostatic adjustment modeling has been the development of models that include 3D Earth structure, as opposed to 1D structure. However, a major limitation is the computational expense. We have developed a method using artificial neural networks to emulate the influence of 3D Earth models to affordably constrain the viscosity parameter space. Our results indicate that the misfits are of a scale such that useful predictions of relative sea level can be made.