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9 results for “Mantle Convection”

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zenodo36/100

Thermal coupling mode in mantle-outer core convection predicted from an ultra-high-resolution numerical simulation of two-layer convection with a large viscosity contrast

<p>Movie of temperature and velocity fields in the highly viscous layer (HVL) and the low-viscosity layer (LVL) (left panels) and the close-up views focusing on the interior of the LVL (right panels). The viscosity contrast between the HVL and LVL is&nbsp;10<sup>4</sup>.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

The Physics of Changing Tectonic Regimes: Implications for the Temporal Evolution of Mantle Convection and the Thermal History of Venus

<p>Input and relevant data files for &quot;The Physics of Changing Tectonic Regimes: Implications for the Temporal Evolution of Mantle Convection and the Thermal History of Venus.&quot; Each data set was used to generate figures in text, and was used with, or obtained from, CitcomS (v3.3).</p> <p>&nbsp;</p> <p>diagnostic.dat contains internal metrics [#step time&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mobility&nbsp;&nbsp; Tint&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; T_asthen_avg&nbsp; D&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; U&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Uc&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RMS_Velocity]<br> Where #step is iteration number, time is the non dimensional diffusion time scale for the step, Mobility is defined in text, Tint is the mid mantle temperature (average), T_asthen_avg&nbsp; &nbsp;is the upper mantle temperature (average), D&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; U&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Uc&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;not used, and RMS_Velocity is the root mean square velocity.</p> <p>&nbsp;</p> <p>Nusselt.dat contains heat flow information [time, surface nusselt number, basal nusselt number].</p> <p>Time is the non dimensional diffusion time scale for the step. nusselt numbers are nondimesional heatflow from the surface (lithosphere) and base (core).<br> &nbsp;</p> <p>Melt2.dat contains melting information. #step is iteration number, time is the non dimensional diffusion time scale for the step,</p> <p>non-dimensional melt</p> <p>&nbsp;</p> <p>the input.* file is the model input file used with&nbsp; CitcomS (v3.3) that includes all parameters used for the reference case. Variations from this file are described in text.</p>

opencc-by-4.0Sep 2019View details →
zenodo32/100

Input files and movie visualizations for convection models discussed in Becker and Fuchs, "Generation of evolving plate boundaries and toroidal flow from visco-plastic damage-rheology mantle convection and continents", manuscript revised for G-Cubed

<p>These input files are for the CitcomS software as available on github.com/geodynamics/citcoms and used in the version under commit 2bda530. They can be used to recreate the models discussed in Becker and Fuchs (revised manuscript submitted to G-Cubed, 11/2023), with model codes discussed and listed in Table 1 of the preprint as provided here. We also provide selected animations of the time dependence of model output, referenced to the same model names.</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Open Research Datasets – Testing Mantle Convection Simulations with Paleobiology and Other Stratigraphic Observations: Examples from Western North America

<p>Data supporting the findings of "Testing Mantle Convection Simulations with Paleobiology and Other Stratigraphic Observations: Examples from Western North America" by Victoria M. Fernandes, Gareth G. Roberts and Fred D. Richards. Further details about these data can be found in the main manuscript and accompanying Supporting Information. This research was funded by NERC Large Grant MC2: Mantle Convection Constrained (NE/T012595/1).&nbsp;<br><br>The datasets contained in this repository:<br>1) Uplift constraints from youngest outcropping marine to terrestrial stratigraphic transitions, as described in Fernandes et al. (2019) JGR Earth Surface (Figure 1; MarineTerrestrialTransition_Fernandes_etal2019.txt)<br>2) Digitised sediment isopachs from Roberts &amp; Kirschbaum (1995), USGS Professional Paper 1561 (Supplementary Figure S3; Roberts_Kirschbaum_1995_isopachs.zip)<br>3) Air-loaded subsidence grids (Supplementary Figure S4; Subsidence.zip)<br>4) Temperature grids at 25 km depth intervals, from 50–400 km depth, generated from the SLNAAFSA hybrid Vs model of Hoggard et al. (2020), Nature Geoscience (Supplementary Figure S6; Temperature_grids_txt.zip)</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Mantle convection promotes abnormal acceleration of the "Tethys Train"

<p>Table S1 Zircon Hf isotopes of the Tethyan Realm</p> <p>Table S2 Whole-rock Nd isotopes of the Tethyan Realm</p> <p>Table S3 Zircon O isotopes of the Tethyan Realm</p> <p>Table S4 Whole-rock analysis of basalts from the Tethyan Realm</p> <p>Table S5 Key paleomagnetic data of Indochina, North Qiangtang, South China</p> <p>Table S6 Major and Trace elements of samples</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

'Reconciling Surface Deflections From Simulations of Global Mantle Convection' : Numerical model dataset

<p><strong>Output data from TERRA simulations included in 'Reconciling Surface Deflections From Simulations of Global Mantle Convection'</strong></p> <p>Dataset includes:</p> <ul> <li>Full density field (`NC_visc_dens_037.tar.gz`)</li> <li>Radial stresses (directory `radial_stresses`)</li> <li>Spherical harmonic coefficients for density field (`density_sph.037`)</li> <li>Radial viscosity factors (`visc.dat`)</li> </ul> <p>Radial stresses are calculated at depths of:</p> <ul> <li>0 km (surface)</li> <li>45 km</li> <li>180 km</li> <li>270 km</li> </ul> <p>and with various amounts of shallow structure removed:</p> <ul> <li>NC_DT_rmir0 - No shallow structure removed</li> <li>NC_DT_rmir1 - 45 km removed</li> <li>NC_DT_rmir2 - 90 km removed</li> <li>NC_DT_rmir3 - 135 km removed</li> <li>NC_DT_rmir5 - 225 km removed</li> <li>NC_DT_rmir7 - 270 km removed</li> </ul>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Dataset: Mantle convection and water transport

<p>This dataset contains simulation results used for Figures in Nakao et al. (2018, GRL)<br> &ldquo;Roles of hydrous lithospheric mantle in deep water transportation&nbsp;<br> and subduction dynamics&rdquo;.</p>

opencc-by-4.0Mar 2018View details →
zenodo28/100

Data accompanying the paper: Can a combination of convective and magmatic heat transport in the mantle explain Io's volcanic pattern?

<p>Data accompanying&nbsp;the publication Steinke et al.&nbsp;2020 - &quot;Can a combination of convective and magmatic heat transport in the mantle explain Io&#39;s volcanic pattern?&quot;,&nbsp;JGR Planets.&nbsp;For more information see the README.&nbsp;Please contact Teresa Steinke with any questions.</p> <p>PART&nbsp;A</p> <p>Two sets including&nbsp;Io&#39;s volcanic features locations adopted from previous publications, fitted and filtered in order to be suitable for the comparision with Io&#39;s interior dynamics.</p> <p>PART B</p> <p>Solution spaces in three-dimensional parameter space spanned by the viscosity, the thickness and the heat flux fraction of Io&#39;s upper convective layer (Figure 3, 4, 5, and A1)</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo20/100

On the deep carbon cycle in numerical modelling of mantle convection: Implications for the long-term climate evolution

Open the record for dataset details and reuse information.

openNov 2024View details →

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