Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures (doi:10.18419/darus-4089)

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Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

doi:10.18419/darus-4089

DaRUS

2024-04-18

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Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4089, DaRUS, V1

Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

doi:10.18419/darus-4089

Keim, Leon (Universität Stuttgart)

Class, Holger (Universität Stuttgart)

OpenFOAM

EXC 2075 - 390740016

327154368 - SFB 1313

DaRUS

Keim, Leon

LH2 RDM

Keim, Leon

2024-03-12

https://doi.org/10.18419/darus-4089

Computer and Information Science, Earth and Environmental Sciences, Engineering, Karst, Convective Mixing, CO2, Boundary Layers

This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immediate use. For transparency, the Dockerfile is also provided.</br> <div class="box"> <div class="number">1</div> <strong>Download the Dataset:</strong> <p>Download the compressed Dockerimage <code>wrr_image.tar</code> directly.</p> <p>If you want to inspect the Dockerimage, you can have a look at the associated Dockerfile first. Inside the Dockerfile one will find an instance of git which is privately hosted and not guaranteed to be hosted forever. Source code can also be inspected inside the docker container.</p> </div> <div class="box"> <div class="number">2</div> <strong>Load Docker Image:</strong> <p>Load the Docker image from the provided tar.xz file.</p> <pre><code>docker load --input wrr_image.tar</code></pre> </div> <div class="box"> <div class="number">3</div> <strong>Run Docker Container:</strong> <p>Run the Docker container with appropriate volume mounts.</p> <pre><code>docker run -v $(pwd)/share/:/home/wrr_user/code/simulations/run/customBoussinesq/share -it wrr_image</code></pre> <p>It might be that the image is called slightly differently for instance wrr_image:latest , one needs to check the terminal output.</p> <p>This command mounts the <code>share</code> directory from your current host directory into the container's <code>/home/wrr_user/code/simulations/run/customBoussinesq/share</code> directory. This allows you to move simulation results outside of the container by moving the results into the share folder.</p> </div> <div class="box"> <div class="number">4</div> <strong>Running Computations:</strong> <p>The container is precompiled with necessary resources.</p> <ul> <li>You can either submit bash scripts to the cluster scheduler or use the <code>Allrun</code> scripts inside the cases. Move to the desired case and type <code>./Allrun 4</code> to run with 4 cores.</li> <li>Note that the computations are resource-intensive and may not work on a local machine, even with an appropriate number of cores set.</li> </ul> </div>

Keim, Leon, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", <a href="https://doi.org/10.18419/darus-4143">https://doi.org/10.18419/darus-4143</a>, DaRUS

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Dockerfile

application/x-docker-file

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wrr_image.tar

application/x-tar