Difference between revisions of "UCVM muscal"
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[[FILE:MUSCAL_test_points_deep.txt]] | [[FILE:MUSCAL_test_points_deep.txt]] | ||
[[FILE:MUSCAL_test_points_shallow.txt]] | [[FILE:MUSCAL_test_points_shallow.txt]] | ||
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| + | Final result from ucvm_query, (with interpolation) | ||
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| + | [[FILE:MUSCAL_test_points_deep.final]] | ||
| + | [[FILE:MUSCAL_test_points_shallow.final]] | ||
Revision as of 23:05, 1 April 2026
Contents
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
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
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
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
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 File:MUSCAL test points shallow.final
