Published October 1, 2025 | Version Published
Journal Article Open

Dynamics of Venusian rifts and their interactions with plumes and intrusions

  • 1. ROR icon University of Bern
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Jet Propulsion Lab

Abstract

The surface of Venus features extensive rift zones, known as chasmata, up to 10,000 km in length. Many of Venus' rifts exhibit intersecting branches, multiple troughs, and associations with coronae, which are often interpreted as small-scale mantle upwellings. With no Earth-like plate tectonics, the driving forces and rates of extension and lithospheric structure are poorly constrained. Here, we present the first 3D numerical models of rift tectonics under Venus-like conditions. We investigate the impact of crustal rheology (wet vs. dry diabase) and the thickness of the crust and lithosphere on rift geometry, topography, and surface fracturing. We further explore interactions between evolving rift structures and thermal upwellings (plumes) and magmatic intrusions – key components of Venus' global geodynamics. We find that rift morphology is highly sensitive to crustal rheology and lithospheric properties, with five modes of rift morphologies predicted: (1) narrow, (2) multiple, (3) wide-troughs, (4) wide-valley, and (5) branching; the multiple, wide-troughs, and branching modes align most closely with Venus observations. Underplated thermal plumes induce lower-crustal intrusions and cause localized lithospheric weakening, narrowing the rift regionally. Many coronae located within chasmata display arcuate trenches and may require alternative mechanisms or conditions to explain their rift morphology. Lateral offsets of rift valleys, branching from a single rift into multiple, and multiple parallel rift valleys are promoted by a relatively weak crust (wet diabase) or a strong crust (dry diabase) combined with a thin, warm lithosphere. If Venus' crust follows a dry diabase rheology, a significantly warm and thin lithosphere is required to reproduce observed rift characteristics. Some first-order differences in rift morphology across Venus may result from spatial or temporal variations in crustal and lithospheric properties.

Copyright and License

© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acknowledgement

We thank our editor, Dr. Carolina Lithgow-Bertelloni, and our two reviewers, Dr. Walter S. Kiefer and Anonymous, for their valuable comments and suggestions that helped improve this manuscript. We further thank Prof. Taras V. Gerya for valuable discussions on the methodological approach. A.G. has been supported by the Swiss National Science Foundation Postdoc Mobility Grant P500PN_21729 with additional support from the Seismological Laboratory, the California Institute of Technology, and the VERITAS project at the Jet Propulsion Laboratory. Additionally, A.G. acknowledges funding from the Center for Space and Habitability (CSH) at the University of Bern as well as NCCR PlanetS supported by the Swiss National Science Foundation under grant 51NF40_205606. This research was partially conducted at the Jet Propulsion Laboratory, California Institute of Technology, under contract (80NM0020F0035) with the National Aeronautics and Space Administration. Computations were carried out on the Purdue Anvil computer supported by the NSF ACCESS program (allocation EAR160027) and on the SDSC Expanse computer. For 2D and 3D visualization of the models, we used the open-source software ParaView (http://paraview.org, last access: 20 June 2023). Several perceptually uniform scientific color maps (Crameri, 2018) were used in the figures.

Data Availability

Data acquired by the Magellan mission is freely accessible on the Planetary Data System (PDS) Geosciences Node Venus Orbital Data Explorer (http://ode.rsl.wustl.edu/venus/index.aspx). The SAR backscatter cycle 1 (left) from the Magellan mission (Pettengill et al., 1991) was visualized using QGIS (https://qgis.org) to create the panels in Fig. 1. The gridded topography data (Ford, 1992) was retrieved from Sandwell (2015) and the open-source software package Generic Mapping Tools (Wessel and Luis, 2017) was used for visualization thereof. The numerical software is the same as used in previous Venus tectonic modeling studies (Gülcher et al., 2020, Gülcher et al., 2023), which is deposited in the supplement of Gülcher et al. (2023). The datasets related to this paper are described in the Supplementary Material Section S3. These datasets are available for download on Zenodo (https://doi.org/10.5281/zenodo.14627888). They contain the code input files and a README.md file (Dataset S1), all visualization .vtr files of selected snapshots of the geodynamic models shown in this paper (Dataset S2), and the post-processed .mat files for all models with evaluated rift parameters (Dataset S3).

Supplemental Material

MMC. Supplementary Material Sections S1-S3. Section S1: Additional methods, Section S2: Supplementary Figures, and Section S3: a description of the datasets accompanying this paper that can be found online at Zenodo (https://doi.org/10.5281/zenodo.14627888).

 

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Additional details

Related works

Funding

Swiss National Science Foundation
P500PN_21729
California Institute of Technology
Seismological Laboratory -
Jet Propulsion Laboratory
VERITAS project -
University of Bern
Center for Space and Habitability (CSH) -
Swiss National Science Foundation
NCCR PlanetS 51NF40_205606
National Aeronautics and Space Administration
80NM0020F0035
National Science Foundation
EAR-160027

Dates

Accepted
2025-06-18
Accepted
Available
2025-06-30
Available online
Available
2025-06-30
Version of record

Caltech Custom Metadata

Caltech groups
Seismological Laboratory, Division of Geological and Planetary Sciences (GPS)
Publication Status
Published