UCVM muscal

about MUSCAL

From Te-Yang Yeh and Yehuda Ben-Zion

The Multi-Scale CALifornia (MUSCAL) statewide Vp and Vs velocity models provide high-quality integrated description of seismic structures across the state. Starting with the CANVAS base model (Doody et al., 2023), MUSCAL incorporates multiple regional and local velocity datasets into a unified structure, capturing features ranging from broad crustal-mantle structures to fine-scale local anomalies such as sedimentary basins.

To ensure quality, the merged multi-scale models underwent a data-informed refinement process guided by simulations of small validation events. A key feature of MUSCAL is the inclusion of a locally optimized near-surface low-velocity taper (LVT), specifically designed to better represent under-resolved shallow structures and improve the accuracy of ground-motion predictions.

Datasets

zone: 11

 command  use:
    plot_depth_profile.py -n $UCVM_INSTALL_PATH/conf/ucvm.conf -i $UCVM_INSTALL_PATH -d vs -c muscal 
                          -o muscal_small_depth_1000.png -C 'Multi-Scale Statewide California Velocity Model'
                          -v 1000 -b 0 -s 36.5054,-119.0587 -e 30000

big data in netcdf

 model_MSCAL_CANVAS_dll0.01_dz50_cmpd.nc
 4.5G

 longitdue:1301 from -126 to -113 
 latitude:1251  from 31 to 43.5
 depth:671      from 0 to 100,000 
                  50 increments until 30,000
                  1000 increments til 100000

Plot Depth profile at 36.5054,-119.0587 in different step increments. No interpretation and access data using nc api

muscal big 50 vs

muscal big 100 vs

muscal big 500 vs

muscal big 1000 vs

File:Muscal big depth-50 matprops.json.txt
File:Muscal big depth-100 matprops.json.txt
File:Muscal big depth-500 matprops.json.txt
File:Muscal big depth-1000 matprops.json.txt

small data in netcdf

  model_MUSCAL_CANVAS_dll0.01_vardz_cmpd.nc 
  2.1G 

 longitdue:1301 from -126 to -113   
 latitude:1251  from 31 to 43.5
 depth:210      from 0 to 99,000 
                  50 increments upto 3000 
                  100 increments upto 5000
                  250 increments upto 10000
                  500 increments upto 30000
                  1000 increments upto 99000

Depth profiles in different steps : 50m,100m,500m,1000m

Direct from netcdf as external file

muscal small 50 vs

muscal small 100 vs

muscal small 500 vs

muscal small 1000 vs

File:Muscal small depth-50 matprops.json.txt
File:Muscal small depth-100 matprops.json.txt
File:Muscal small depth-500 matprops.json.txt
File:Muscal small depth-1000 matprops.json.txt

Loaded in-memory as binary data no interpolation

muscal small 50 vs

muscal small 100 vs

muscal small 500 vs

muscal small 1000 vs

File:Muscal small no interp-50 matprops.json.txt
File:Muscal small no interp-100 matprops.json.txt
File:Muscal small no interp-500 matprops.json.txt
File:Muscal small no interp-1000 matprops.json.txt

Another small dataset in netcdf

 model_MUSCAL_CANVAS_dll0.01_vardz_float32_cmpd.nc
 1.4G

 All longitude, latitude, and depth points are now saved as float32, as well as the vp, vs, and rho. 

Loaded in-memory as binary data with interpolation

muscal small 50 vs

muscal small 100 vs

muscal small 500 vs

muscal small 1000 vs

File:Muscal small interp-50 matprops.json.txt
File:Muscal small interp-100 matprops.json.txt
File:Muscal small interp-500 matprops.json.txt
File:Muscal small interp-1000 matprops.json.txt