CyberShake Study 24.8

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CyberShake Study 24.1 is an upcoming study in Northern California which includes deterministic low-frequency (0-1 Hz) and stochastic high-frequency (1-50 Hz) simulations. We will use the Graves & Pitarka (2022) rupture generator and the high frequency modules from the SCEC Broadband Platform v22.4.

Status

This study is in the planning phase. We hope to begin this study in January 2024.

Data Products

Science Goals

The science goals for this study are:

  • To perform an updated broadband study for the greater Bay Area.
  • To use an updated rupture generator and improved velocity model from Study 18.8.
  • To use the same parameters as in Study 22.12 when possible to make comparisons between the studies simple.

Technical Goals

The technical goals for this study are:

  • Use Frontier for the SGTs and Frontera for the post-processing and high-frequency calculations.
  • Use a modified approach for the production database, to improve performance.

Sites

For this study, we chose to focus on a smaller region than in Study 18.8. Starting with the Study 18.8 region, we selected a smaller (180 km x 100 km) box extending roughly from San Jose to Santa Rosa, containing 315 sites.

Study 24 1 site map.png

Ruptures to Include

Summary: we decided to exclude the southern San Andreas events from Study 24.1. This was implemented by creating a new ERF with ID 64, which includes all the ERF 36 ruptures except for the southern San Andreas events.

Historically, we have determined which ruptures to include in a CyberShake run by calculating the distance between the site and the closest part of the rupture surface. If that distance is less than 200 km, we then include all ruptures which take place on that surface, including ruptures which may extend much farther away from the site than 200 km.

For Northern California sites, this means that sites around San Jose and south include southern San Andreas events (events which rupture the northernmost segment of the southern San Andreas) within 200 km. Since there are some UCERF2 ruptures which extend from the Parkfield segment all the way down to Bombay Beach, the simulation volumes for some of these Northern California sites cover most of the state. This was the case for Study 18.8 (sample volumes can be seen on this page). This required tiling together 3 3D models and a background 1D model.

To simplify the velocity model and reduce the volumes, we are investigating omitting southern San Andreas events from this study.

Source Contribution Curves

Below are source contribution curves for 3 sites: s3430 (southwest corner of the study region), s3446 (southeast corner of the study region), and SJO (San Jose). In general, the sSAF events are about the 3rd largest contributor at long periods and medium-to-long return periods.

Site 2 sec 3 sec 5 sec 10 sec
s3430
S3430 run6408 2sec contributions.png
S3430 run6408 3sec contributions.png
S3430 run6408 5sec contributions.png
S3430 run6408 10sec contributions.png
s3446
S3446 run6452 2sec contributions.png
S3446 run6452 3sec contributions.png
S3446 run6452 5sec contributions.png
S3446 run6452 10sec contributions.png
SJO
SJO run6987 2sec contributions.png
SJO run6987 3sec contributions.png
SJO run6987 5sec contributions.png
SJO run6987 10sec contributions.png

We also looked at the source contributions for these 3 sites from ASK 2014. In general, the sSAF events play a reduced role compared to the CyberShake results.

Site 2 sec 3 sec 5 sec 10 sec
s3430
S3430 ASK2014 2sec contributions.png
S3430 ASK2014 3sec contributions.png
S3430 ASK2014 5sec contributions.png
S3430 ASK2014 10sec contributions.png
s3446
S3446 ASK2014 2sec contributions.png
S3446 ASK2014 3sec contributions.png
S3446 ASK2014 5sec contributions.png
S3446 ASK2014 10sec contributions.png
SJO
SJO ASK2014 2sec contributions.png
SJO ASK2014 3sec contributions.png
SJO ASK2014 5sec contributions.png
SJO ASK2014 10sec contributions.png

Disaggregations

From Study 18.8, we looked at disaggregations for s3430, s3446, and SJO at 1e-3 (1000 yr), 4e-4 (2500 yr), and 1e-4 (10000 yr) probability levels, at 2 and 10 seconds. We list the top 3 contributing sources from the southern SAF, their magnitude ranges, and their contributing percentages.

The only significant contributions are for site s3446 at 10 second period. Those come from large events, with median magnitude 7.85 or higher.

s3430

Period 1e-3 4e-4 1e-4
2 sec 80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
10 sec 86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), 0.01%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), 0.01%
85 (S. San Andreas;PK+CH+CC+BB+NM+SM, M7.55-8.15), <0.01%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%

s3446

Period 1e-3 4e-4 1e-4
2 sec 84 (S. San Andreas;PK+CH+CC+BB+NM, M7.45-7.95), <0.01%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
10 sec 85 (S. San Andreas;PK+CH+CC+BB+NM+SM, M7.55-8.15), 6.83%
86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), 4.18%
84 (S. San Andreas;PK+CH+CC+BB+NM, M7.45-7.95), 1.53%
85 (S. San Andreas;PK+CH+CC+BB+NM+SM, M7.55-8.15), 4.27%
86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), 3.09%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), 1.08%
86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), 1.19%
85 (S. San Andreas;PK+CH+CC+BB+NM+SM, M7.55-8.15), 1.19%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), 0.55%

SJO

Period 1e-3 4e-4 1e-4
2 sec 80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%
10 sec 85 (S. San Andreas;PK+CH+CC+BB+NM+SM, M7.55-8.15), 0.09%
86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), 0.07%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), 0.05%
89 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG+CO, M7.75-8.45), 0.01%
88 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB+SSB+BG, M7.75-8.35), 0.01%
86 (S. San Andreas;PK+CH+CC+BB+NM+SM+NSB, M7.65-8.25), <0.01%
80 (S. San Andreas;PK, M5.65-6.35), <0.01%
81 (S. San Andreas;PK+CH, M6.75-7.35), <0.01%
82 (S. San Andreas;PK+CH+CC, M7.15-7.65), <0.01%

Velocity Model

We will perform validation of the proposed velocity model using northern California BBP events.

Primary 3D model

Given the extensive low-velocity near-surface regions in the USGS SF CVM, we plan to use a minimum Vs of 400 m/s (and therefore a grid spacing of 80 m).

Sfcvm h0 2.png

Initial slices with the USGS SF CVM are available here: UCVM_sfcvm_geomodelgrid. We found two sharply defined high-velocity patches visible on the surface slice, one in the East Bay near the mountains, and another south of San Jose.

Eastbay high vs vertical profile.png

These patches are not present in the Vs30 models - for instance, for the point (37.6827, -122.086) SF CVM gives a surface Vs of about 3500 m/s, but Wills (2015) has Vs30=710 and Thompson (2018) has Vs30=702.

Background model

There are several candidates to use as a background model for the regions outside of the 3D model region:

  1. 1D Broadband Platform model - either Northern California, Central California, or the Southern Sierras.
  2. 1D CVM-S4 background model
  3. 3D CANVAS long-period tomography model
  4. 3D National Crustal model

Plots of these options are available below.

Model BBP NorCal BBP CenCal BBP SouthernSierras
Plot
Nocal500.png
Centralcal500.png
Ssn2-500.png

Rupture Generator

We will use the same version of the rupture generator that we used for Study 22.12, v5.5.2.

High-frequency codes

We will use the Graves & Pitarka high-frequency codes from the BBP v22.4.

However, since we are using a denser mesh (80m) and a lower minimum Vs (400 m/s), we will not apply site correction to the low-frequency seismograms before combining. Rob states, You may recall that there is a klugy process we have used to estimate the Vref value based on the Vsmin and grid spacing of the model. But, it has only been applied for the case of h=100 m and Vsmin=500 m/s. What I found here is that estimating Vref using the 80m & 400m/s model is that Vref is almost always less than Vs30 (i.e., Vsite). This means that when the site adjustment is applied, the motions are deamplified. This is why we see such a poor fit for the 3D case when using the estimated Vref values. My conclusion at this point is that if we run the 3D calculation with 80 m grid spacing and Vsmin of 400 m/s (or lower), then we probably do not need to apply any site adjustments.

Updates and Enhancements

  • Used smaller study region than in Study 18.8.
  • Removed southern San Andreas events, and created a new ERF.

Output Data Products

File-based data products

We plan to produce the following data products, which will be stored at CARC:

Deterministic

  • Seismograms: 2-component seismograms, 8000 timesteps (400 sec) each.
  • PSA: We are removing geometric mean PSA calculations from this study.
  • RotD: PGV, and RotD50, the RotD50 azimuth, and RotD100 at 27 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1)
  • Fourier spectra at 27 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1)
  • Durations: for X and Y components, energy integral, Arias intensity, cumulative absolute velocity (CAV), and for both velocity and acceleration, 5-75%, 5-95%, and 20-80%. Also, period-dependent acceleration 5-75%, 5-95%, and 20-80% for 27 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1).

Broadband

  • Seismograms: 2-component seismograms, 40000 timesteps (400 sec) each.
  • PSA: We are removing geometric mean PSA calculations from this study.
  • RotD: PGA, PGV, and RotD50, the RotD50 azimuth, and RotD100 at 68 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1, 0.85, 0.75, 0.65, 0.6, 0.55, 0.5, 0.45, 0.4, 0.35, 0.3, 0.28, 0.26, 0.24, 0.22, 0.2, 0.17, 0.15, 0.13, 0.12, 0.11, 0.1, 0.085, 0.075, 0.065, 0.06, 0.055, 0.05, 0.045, 0.04, 0.035, 0.032, 0.029, 0.025, 0.022, 0.02, 0.017, 0.015, 0.013, 0.012, 0.011, 0.01)
  • Fourier spectra at 68 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1, 0.85, 0.75, 0.65, 0.6, 0.55, 0.5, 0.45, 0.4, 0.35, 0.3, 0.28, 0.26, 0.24, 0.22, 0.2, 0.17, 0.15, 0.13, 0.12, 0.11, 0.1, 0.085, 0.075, 0.065, 0.06, 0.055, 0.05, 0.045, 0.04, 0.035, 0.032, 0.029, 0.025, 0.022, 0.02, 0.017, 0.015, 0.013, 0.012, 0.011, 0.01)
  • Durations: for X and Y components, energy integral, Arias intensity, cumulative absolute velocity (CAV), and for both velocity and acceleration, 5-75%, 5-95%, and 20-80%. Also, period-dependent acceleration 5-75%, 5-95%, and 20-80% for 68 periods (20, 17, 15, 13, 12, 10, 8.5, 7.5, 6.5, 6, 5.5, 5, 4.4, 4, 3.5, 3, 2.8, 2.6, 2.4, 2.2, 2, 1.7, 1.5, 1.3, 1.2, 1.1, 1, 0.85, 0.75, 0.65, 0.6, 0.55, 0.5, 0.45, 0.4, 0.35, 0.3, 0.28, 0.26, 0.24, 0.22, 0.2, 0.17, 0.15, 0.13, 0.12, 0.11, 0.1, 0.085, 0.075, 0.065, 0.06, 0.055, 0.05, 0.045, 0.04, 0.035, 0.032, 0.029, 0.025, 0.022, 0.02, 0.017, 0.015, 0.013, 0.012, 0.011, 0.01)

Database data products

We plan to store the following data products in the database on moment-carc:

Deterministic

  • RotD50 for 6 periods (10, 7.5, 5, 4, 3, 2). Note that we are NOT storing RotD100.
  • Duration: acceleration 5-75% and 5-95%, for both X and Y, and acceleration 5-75% and 5-95% for 6 periods (10, 7.5, 5, 4, 3, 2).

Broadband

  • RotD50 for PGA, PGV, and 19 periods (10, 7.5, 5, 4, 3, 2, 1, 0.75, 0.5, 0.4, 0.3, 0.2, 0.1, 0.075, 0.05, 0.04, 0.03, 0.02, 0.01). Note that we are NOT storing RotD100.
  • Duration: acceleration 5-75% and 5-95%, for both X and Y, and acceleration 5-75% and 5-95% for 19 periods (10, 7.5, 5, 4, 3, 2, 1, 0.75, 0.5, 0.4, 0.3, 0.2, 0.1, 0.075, 0.05, 0.04, 0.03, 0.02, 0.01).

Hazard products

For each site, we will produce hazard curves from the deterministic results at 10, 5, 3, and 2 seconds, and from the broadband results at 10, 5, 3, 2, 1, 0.5, 0.2, and 0.1 seconds.

When the study is complete, we will produce maps from the deterministic results at 10, 5, 3, and 2 seconds, and from the broadband results at 10, 5, 3, 2, 1, 0.5, 0.2, and 0.1 seconds.

Computational and Data Estimates

Lessons Learned

Stress Test

Events During Study

Performance Metrics

Production Checklist

Presentations, Posters, and Papers

References