Difference between revisions of "UCVM muscal"

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== about MUSCAL ==
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This page describes the Multi-Scale CALifornia (MUSCAL) velocity model and its integration into UCVM.
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== MUSCAL overview ==
 +
 
 +
The MUSCAL Vp and Vs model was created by Te-Yang Yeh and Yehuda Ben-Zion in 2025-6 by starting with the CANVAS tomography model as a base and then integrating multiple regional and local high-resolution models.  Each submodel is evaluated to determine where it improves the fit through simulations of M4 historical events to 1 Hz, and then the overall model is updated where the submodel improves the fit.
  
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From Te-Yang Yeh and  Yehuda Ben-Zion
 
  
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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.
 
  
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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.
 
  
  
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zone: 11
 
zone: 11
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  command  use:
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    plot_depth_profile.py -n $UCVM_INSTALL_PATH/conf/ucvm.conf -i $UCVM_INSTALL_PATH -d vs -c muscal
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                          -o muscal_small_depth_1000.png -C 'Multi-Scale Statewide California Velocity Model'
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                          -v 1000 -b 0 -s 36.5054,-119.0587 -e 30000
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==== big data in netcdf ====
 
==== big data in netcdf ====
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  model_MSCAL_CANVAS_dll0.01_dz50_cmpd.nc
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  4.5G
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  model_MSCAL_CANVAS_dll0.01_dz50_cmpd.nc
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  4.5G
  
 
   longitdue:1301 from -126 to -113  
 
   longitdue:1301 from -126 to -113  
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  [[FILE:muscal_big_depth-500_matprops.json.txt]]
 
  [[FILE:muscal_big_depth-500_matprops.json.txt]]
 
  [[FILE:muscal_big_depth-1000_matprops.json.txt]]
 
  [[FILE:muscal_big_depth-1000_matprops.json.txt]]
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==== small data in netcdf ====
 
==== small data in netcdf ====
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  [[FILE:muscal_small_no_interp-1000_matprops.json.txt]]
 
  [[FILE:muscal_small_no_interp-1000_matprops.json.txt]]
  
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==== Another small dataset in netcdf ====
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  model_MUSCAL_CANVAS_dll0.01_vardz_float32_cmpd.nc
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  1.4G
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  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
 
Loaded in-memory as binary data with interpolation
  
 
{|
 
{|
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|[[FILE:muscal_small_interp_50.png|thumb|300px|muscal small 50 vs]]  
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|[[FILE:muscal_small_interp_50.png|thumb|300px|muscal small 50 vs]]  
 
|[[FILE:muscal_small_interp_100.png|thumb|300px|muscal small 100 vs]]
 
|[[FILE:muscal_small_interp_100.png|thumb|300px|muscal small 100 vs]]
 
|[[FILE:muscal_small_interp_500.png|thumb|300px|muscal small 500 vs]]  
 
|[[FILE:muscal_small_interp_500.png|thumb|300px|muscal small 500 vs]]  
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  [[FILE:muscal_small_interp-500_matprops.json.txt]]
 
  [[FILE:muscal_small_interp-500_matprops.json.txt]]
 
  [[FILE:muscal_small_interp-1000_matprops.json.txt]]
 
  [[FILE:muscal_small_interp-1000_matprops.json.txt]]
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=== Validation ===
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 +
 +
Several steps of pre/post processing are done to original MUSCAL model(netcdf format) in order to
 +
incorporate it into UCVM and CVM explorer.
 +
 +
  Because of the speed of netcdf-C code is too slow to support in-time nature of the explorer and would
 +
  like to have interpolation on query,
 +
 +
      * Number of depth layer is reduced with deeper layers merged into fewer layers
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      * preprocessing the netcdf data into binary data files
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      * data are all in float32
 +
 +
[[FILE:MUSCAL_test_points_deep.txt]]
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[[FILE:MUSCAL_test_points_shallow.txt]]
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 +
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Final result from ucvm_query, (with interpolation)
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 +
[[FILE:MUSCAL_test_points_deep.final.txt]]
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[[FILE:MUSCAL_test_points_shallow.final.txt]]

Latest revision as of 16:00, 2 April 2026

This page describes the Multi-Scale CALifornia (MUSCAL) velocity model and its integration into UCVM.

MUSCAL overview

The MUSCAL Vp and Vs model was created by Te-Yang Yeh and Yehuda Ben-Zion in 2025-6 by starting with the CANVAS tomography model as a base and then integrating multiple regional and local high-resolution models. Each submodel is evaluated to determine where it improves the fit through simulations of M4 historical events to 1 Hz, and then the overall model is updated where the submodel improves the fit.



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

Validation

Several steps of pre/post processing are done to original MUSCAL model(netcdf format) in order to incorporate it into UCVM and CVM explorer. 

  Because of the speed of netcdf-C code is too slow to support in-time nature of the explorer and would 
  like to have interpolation on query,

     * Number of depth layer is reduced with deeper layers merged into fewer layers
     * preprocessing the netcdf data into binary data files
     * data are all in float32

File:MUSCAL test points deep.txt
File:MUSCAL test points shallow.txt


Final result from ucvm_query, (with interpolation) 

File:MUSCAL test points deep.final.txt
File:MUSCAL test points shallow.final.txt
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