Difference between revisions of "UCVM elevation vs depth, model boundary"

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| [[File:1d_bakersfield_x_depth.png|thumb|300px|Sothern California 1D(1d)]]
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| [[File:1d_bakersfield_x_depth.png|thumb|300px|Southern California 1D(1d)]]
 
| [[File:bbp1d_bakersfield_x_depth.png|thumb|300px|Northridge Region 1D(bbp1d)]]
 
| [[File:bbp1d_bakersfield_x_depth.png|thumb|300px|Northridge Region 1D(bbp1d)]]
 
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   TODO
 
   TODO
  
Interesting next step : What is the upper boundary of models like, just above the air ??
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== Model profile by elevation ==
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{|
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| [[File:cvmh_bakersfield_depth.png|thumb|300px|by depth]]
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| [[File:cvmh_bakersfield_elevation.png|thumb|300px|by elevation]]
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  TODO
 
  
 
== Related Links ==
 
== Related Links ==
 
*[[UCVM]]
 
*[[UCVM]]

Revision as of 23:32, 28 February 2019


Model Boundary

Using depth profile plots to show the bottom of the model boundary in relationship to possible background 1d model

Using (-119.03, 35.38) near Bakersfield, CA

SCEC 1d (1d)

1d, vp


CVM-H v15.1(cvmh) with optional configurable 1d background

cvmh, no 1d
cvmh, 1d
  ./plot_depth_profile.py -d vp -b ${START} -e ${END} -v 10 -c ${MODEL} -s ${LAT},${LON} -o ${MODEL}_${IDX}_depth.png
 START is 0
 END is 250000
 MODEL is cvmh
 IDX is Bakersfield
 LAT is 35.38
 LON is -119.03

How deep are the Models

At -119.03,35.38

CVM-H v15.1(cvmh)
CVM-S4(cvms)
CVM-S4.26(cvm5)
CVM-S4.26.M01(cvmsi)
CCA06(cca)
CS17.3(cs173)
Southern California 1D(1d)
Northridge Region 1D(bbp1d)

At -123,37,0.0,1000000.0

USGS Bay Area Velocity Model 0.8.3(cencal)

raw data

Extending Model boundary with tiling

CVMH with 1D tiling
CCA06 with 1D tiling
CVM-S4.26 with 1D tiling
CVMH with BBP1D tiling
CCA06 with BBP1D tiling
CVM-S4.26 with BBP1D tiling

Query by elevation vs by depth

Sketch.png


Target point: near Bakersfield (-119.0300,35.3800, elevation is at 112.589)

 A: elevation(112.589) depth(0)
 B: elevation(0)       depth(112.589)
 C: elevation(-300)    depth(412.589)
 D: elevation(-1000)   depth(1112.589)
 E: elevation(-2000)   depth(2112.589)
 F: elevation(-5000)   depth(5112.589)

Result by Model:

cvmh
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
4680.573       4680.573       2430.200       2430.200
4682.998       4682.998       2432.200       2432.200
4712.152       4712.152       2451.300       2451.300
4768.784       4768.784       2486.912       2486.912
4859.654       4859.654       2540.834       2540.834
5373.960       5373.960       2804.333       2804.333
cvms
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
5151.152       5151.152       2952.019       2952.019
5151.152       5151.152       2952.019       2952.019
5151.152       5151.152       2952.019       2952.019
5170.681       5169.091       2972.140       2970.502
5329.671       5328.081       3135.951       3134.312
5850.498       5845.330       3600.128       3600.713
cvms5
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
3903.619       3903.615       2129.922       2129.921
3903.673       3903.668       2129.932       2129.931
3903.815       3903.810       2129.960       2129.959
3896.509       3895.861       2098.373       2097.965
3876.443       3877.072       2067.233       2067.894
4400.208       4394.484       2420.105       2417.289
cvmsi
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
3944.456       3944.452       2118.312       2118.312
3944.503       3944.499       2118.323       2118.322
3944.629       3944.625       2118.352       2118.351
3961.562       3960.529       2104.522       2103.804
3969.253       3969.682       2094.039       2094.569 
4487.691       4481.987       2445.242       2442.489
cca
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
3654.861       3654.299       2010.981       2010.743
3661.186       3660.624       2013.665       2013.427
3678.040       3677.478       2020.816       2020.578
3792.840       3790.156       2071.238       2069.795
4010.393       4008.760       2176.723       2176.007
4729.531       4724.311       2655.600       2652.685
cs173
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
3654.833       3654.271       2010.996       2010.757
3661.159       3660.597       2013.679       2013.441
3679.039       3678.336       2021.223       2020.931
3792.818       3790.134       2071.244       2069.801 
4010.365       4008.732       2176.710       2175.993
4729.473       4724.253       2655.543       2652.628
bbp1d
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
1800.000       1700.000       783.326        450.000
2445.178       2425.178       1222.589       1212.589
2983.883       2968.883       1522.589       1512.589
3742.906       3739.406       2118.388       2116.888
4092.906       4089.406       2268.388       2266.888
5161.294       5156.294       2842.906       2839.406
1d
Vs                                Vp
(by elevation) (by depth)   (by elevation)  (by depth)
5000.000       5000.000       2886.751       2886.751
5000.000       5000.000       2886.751       2886.751
5000.000       5000.000       2886.751       2886.751
5015.324       5014.074       2895.598       2894.877
5140.324       5139.074       2967.767       2967.046
5598.071       5590.071       3232.048       3227.429


raw data


Special case: For cencal, (-123,37, elevation is -1962.643)

 TODO

Model profile by elevation

by depth
by elevation



Related Links