Work Description

Title: Assessing Margin-wide Rupture Behaviors along the Cascadia Megathrust using 3-D Dynamic Rupture Simulations Open Access Deposited

h
Attribute Value
Methodology
  • The simulations are carried out using the open-source software, SeisSol. The 3-D finite element mesh (FEM) for the Cascadia and surrounding topography/bathyemtry was created using Simmetrix. Results may be viewed with Paraview (.xdmf files) or if in ascii text form (.txt) with python or similar scientific scripting language. Static stress-drop is calculated from the coupling models using Poly3D, which is freely available. No data was collected during this study. Where appropriate, readers may refer to Table 1 in Wang, P-L et al., (2013) for the tabulated subsidence values.
Description
  • This study used three-dimensional, dynamic earthquake simulations to investigate how stress and friction levels on the Cascadia megathrust fault influence the final earthquake size and coastal subsidence patterns from the 1700 A.D. earthquake.
Creator
Depositor
  • ramosmd@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
Related items in Deep Blue Documents
  • Ramos, M., Huang, Y., Ulrich, T., Gabriel, A. A., Thomas, A. (2021) Assessing Margin-wide Rupture Behaviors along the Cascadia Megathrust using 3-D Dynamic Rupture Simulations. University of Michigan Deep Blue https://doi.org/10.7302/1261
Resource type
Last modified
  • 11/17/2022
Published
  • 05/26/2021
Language
DOI
  • https://doi.org/10.7302/b3mj-dz37
License
To Cite this Work:
Ramos, M. D., Yihe, H., Ulrich, T., Gabriel, A. A., Thomas, A. (2021). Assessing Margin-wide Rupture Behaviors along the Cascadia Megathrust using 3-D Dynamic Rupture Simulations [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/b3mj-dz37

Relationships

This work is not a member of any user collections.

Files (Count: 7; Size: 418 MB)

######## README FILE FOR PAPER SUBMITTED TO JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH ########
# LATEST UPDATE: March 15, 2021
#Title: Assessing Margin-wide Rupture Behaviors Along the Cascadia megathrust
# Using 3-D Dynamic Rupture Simulations
# Authors: Marlon D. Ramos (ramosmd@umich.edu), Yihe Huang, Thomas Ulrich, Duo Li,
Alice-Agnes Gabriel and Amanda M. Thomas

######## RESEARCH OVERVIEW ########
This study used three-dimensional, dynamic earthquake simulations to investigate how stress
and friction levels on the Cascadia megathrust fault influence the final earthquake size
and coastal subsidence patterns from the 1700 A.D. earthquake.

######### METHODS ########
The simulations are carried out using the open-source software, SeisSol.
The 3-D finite element mesh (FEM) for the Cascadia and surrounding topography/bathyemtry was
created using Simmetrix.
Results may be viewed with Paraview (.xdmf files) or if in ascii text form (.txt) with python
or similar scientific scripting language.
Static stress-drop is calculated from the coupling models using Poly3D, which is freely available.
No data was collected during this study. Where appropriate, readers may refer to Table 1
in Wang, P-L et al., (2013) for the tabulated subsidence values.

######## FILE INVENTORY ########
There are eight main figure directories in Paper_Figures/ for the submitted manuscript (subject to change before peer-review process is done).
Six additional directories (e.g., S#/) contain data and scripts for plotting suppplemental information.
Thus, fourteen figure directories are included with this dataset.

There are two directories that include a collection of MATLAB and python scripts for pre- or post-
processing the simulation data

The directory MESH/ contains the 3-D finite element mesh used to run simulations in this paper

A directory containing example simulation input data files (.yaml), the FEMs, and example output data will be made available.

######## USE AND ACCESS ########
Required Software: MATLAB, Python (>3.3), Poly3D (https://github.com/stgl/poly3d),
SeisSol (downloadable/clone from https://github.com/SeisSol/SeisSol.git)
SeisSol requires several dependenceis and a comprehensive set of directions for installation may be found at:
https://seissol.readthedocs.io/en/latest/index.html

Computational Requirements: Simulations for this paper were conducted on the Great Lakes parallel computing
cluster at the University of Michigan (https://arc.umich.edu/greatlakes/)
or on SUPERMUC-NG, a supercomputing cluster within theLeibniz Supercomputing Centre, Munich (Germany).

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.