Data from 666 earthquake/tsunami scenario simulations targeting Nankai subduction
<p><strong>Summary: </strong></p> <ul> <li>Data from 666 earthquake/tsunami scenario simulations targeting Nankai subduction</li> <li>Tsunami simulation solver: TUNAMI-N2</li> <li>Fault rupture model: Okada model(Okada, 1985)</li> <li>Each scenario data consists of 71 ASCII files containing the simulated wave sequences at the synthetic gauges </li> <li>Each single scenario is tagged as "Nankai-XYZE", where XYZW would be the number from <strong>0003</strong> to <strong>1470</strong>.</li> <li>Some of the synthetic gauges are located based on the real ocean gauge points (e.g., DONET2, NOPHAS) nearby Shikoku region, Japan.</li> </ul> <p> </p> <p><strong>Details of each file:</strong></p> <ul> <li><strong>wave_sequenses.tar.gz</strong>: A series of wave sequences (4-hour wave history-data, recorded every 5 seconds) at 71 synthetic gauges are provided in ascii type format. <br> Note that <strong>5.8GB additional storage would be required</strong> to fully unzip this archive file with the following command. <pre><code>tar xzvf wave_sequences.tar.gz</code></pre> <p>You can get all scenario data as follows:</p> <pre><code>wave_sequences ├ Nankai-0003 ├ Nankai-0004 ├… ├ Nankai-1467 └ Nankai-1470 </code></pre> <p>Each directory contains the 71 files, head with 'pntX_Y.asc',</p> <pre><code>Nankai-0003 ├ pnt1_01.asc ├ pnt1_02.asc ├... ├ pnt5_46.asc └ pnt5_47.asc</code></pre> <p>which contains the wave sequence data. The ASCII file, the time (minute) elapsed from the fault rupture is aligned in the left column, and the wave displacements \eta (meter) from the original surface location are in the right column.</p> </li> </ul> <ul> <li> <p><strong>quake_params.csv</strong>: The parameter used to generate 666 earthquake scenarios caused by the rupture of rectangular fault, by means of Okada model. (Okada 1985)</p> </li> </ul> <ul> <li><strong>synthetic_gauges.csv</strong>: The locations of 71 synthetic gauges. </li> </ul>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4