Surface-Deep Earth Interactions: From Integrated Datasets to Landscape Evolution and Geodynamic Modeling

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: closed (1 December 2020) | Viewed by 4404

Special Issue Editors


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Guest Editor
Department of Earth and Environmental Sciences, Università degli Studi di Milano-Bicocca, 20126 Milan, Italy
Interests: tectonics and geodynamics; climate change and paleoclimate; surface-deep earth interactions; geodynamic numerical modeling; landscape evolution numerical modeling; mountain building; surface processes; magmatism; basin evolution; geological carbon cycle

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Guest Editor
Department of Earth Sciences, Geological Institute, ETH Zürich, 8092 Zürich, Switzerland
Interests: structural geology and tectonics; numerical modelling; low-temperature thermometry; paleomagnetism; fold-and-thrust belts

Special Issue Information

Dear colleagues,

Mountain ranges, sedimentary basins, subduction zones, volcanic arcs, oceanic ridges, and nearly all major geological features testify fluxes of geological materials occurring at and across the Earth's surface. Interactions between the Solid Earth (i.e., our planet's solid surface and its interior) and the Fluid Earth (i.e., our planet's wet or icy surface and the atmosphere) are thus ubiquitous and occur across timescales. Correspondences between global climatic and tectonic changes throughout the Earth’s history fostered our understanding of the evolution of mountain ranges, rock exhumation, and the geological carbon cycle. The main logical link to relate past climate and tectonic changes is their synchronicity. However, limited temporal resolution in the geological archives prevents a clear recognition of the causative relationships behind such changes. Which mechanisms control the coupling between surface and deep Earth processes? Which are the characteristic timescales and magnitudes of the feedbacks involved? Answering these questions is still a challenge in the Earth Sciences and relies on landscape evolution and geodynamic modeling to integrate and interpret multidisciplinary dataset. The aim of this special issue is to gather contributions regarding the continuously growing body of observational constraints and advances in coupled surface and deep Earth processes modeling, thereby increasing opportunities to progress in this research.

Dr. Pietro Sternai
Dr. Jonas B. Ruh
Guest Editors

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Keywords

  • Landscape Evolution Modeling
  • Geodynamic Modeling
  • Surface-Deep Earth Interactions
  • Mountain Building
  • Basin Evolution
  • Climate Change and Paleoclimate
  • Geological Carbon Cycle
  • Plate Tectonics
  • Magmatism
  • Erosion and Weathering

Published Papers (1 paper)

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Review

19 pages, 2630 KiB  
Review
Heated Topics in Thermochronology and Paths towards Resolution
by Matthew Fox and Andrew Carter
Geosciences 2020, 10(9), 375; https://doi.org/10.3390/geosciences10090375 - 19 Sep 2020
Cited by 17 | Viewed by 3850
Abstract
Thermochronometry is widely used to track exhumation, the motion of rock towards Earth’s surface, and to gain fresh insights into geodynamic and geomorphic processes. Applications require models to reconstruct a rock’s cooling history as it is exhumed from higher temperatures at depth within [...] Read more.
Thermochronometry is widely used to track exhumation, the motion of rock towards Earth’s surface, and to gain fresh insights into geodynamic and geomorphic processes. Applications require models to reconstruct a rock’s cooling history as it is exhumed from higher temperatures at depth within the crust to cooler shallower levels and eventually Earth’s surface. Thermochronometric models are dependent on the predictable accumulation and the temperature-dependent loss of radiogenic daughter products measured in the laboratory. However, there are many geologically reasonable scenarios that will yield very similar thermochronometric ages. This similarity hinders finding the actual scenario, so instead an approximate model is sought. Finding suitable model parameters is a potentially ill-posed inverse problem that requires making decisions about how best to extract information from the data and how to combine data to leverage redundant information and reduce the impact of data noise. Often these decisions lead to differences in conclusions of studies and such discrepancies have led to heated debates. Here, we discuss debates centred on the use of a variety of modelling approaches and potential sources of biases that lead to differences in the predicted exhumation rate. We also provide some suggestions about future research paths that will help resolve these debates. Full article
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