Checkerboard Test for 3-D Tomography Model of Washington Cacadia Margin - 20 km cell dimensions in X, Y, and Z.


Introduction:

Checkerboard sensitivity tests are useful to assess the ability of tomographic inversion to resolve structural details in the earth. In tomographic inversion, lack of an explicit inverse operator in the computational formulation makes it difficult to estimate parameter uncertainties and resolution for the inverted model. The checkerboard test is a useful alternative which gives a general picture of the resolving power of tomographic inversion. It can be applied to any inversion procedure without knowledge of the internal operation of the inversion.

The idea is to superimpose a small perturbation (typically a 3-D or 2-D regular "checkerboard" or grid pattern)  signal onto the tomographically inverted structure model, compute synthetic travel times (data) to all observing stations from all sources used in the original tomographic inversion, and then invert the synthetic travel and arrival times in the same manner as the actual data. Random errors may added to the synthetic data to simulate random errors in the actual observations. The ability of the tomographic method to quantitatively recover the perturbed model is then an estimate of the sensitivity of the original inversion of real data to recover similar details in the real earth.

There are obviously many factors that influence the results of a checkerboard test. These include such things as: the amplitude of the perturbation signal, whether the perturbation signal is a smooth variation such as a 2-D or 3-D sinusoid or a "square" wave (or other wave form), the size of the grid (or the spatial wavenumber) of the perturbation signal, whether variation is allowed in depth as well as in latitude and longitude, and whether the spatial wavenumber of the perturbation is the same in all three dimensions. In the following discussion, we outline the scheme used here to compute the checkerboard test, and also briefly discuss aspects of the results.

Description of Method:

The form of the velocity structure models is a 3-D grid with velocity values (actually slowness; conversion between velocity and slowness is handled in the code) specified at points in the grid corresponding to points in the earth. For purposes of discussion, the final inverted model is called MODELA.  First, synthetic data are generated using MODELA and all of the sources and receivers used to generate MODELA. These synthetic data are then "inverted" as if they were the actual data, using the same procedure as with the original inversion, and the resulting model is called: MODEL0.  Note that MODEL0 will be close to, but not exactly equal to, MODELA because we used the actual data with MODELA, but used slightly different synthetic data to generate MODEL0. MODEL0 will be used as a reference model. Note also that MODEL0 is generated using synthetic data with no errors, so the fit to the data should be nearly perfect.

Next, add the checkerboard "perturbations" to MODEL0, and generate theoretical travel times using this perturbed model as before. The checkerboard pattern is a sinusoid in 3-D with specified wavelength set independently for each of the 3 spatial directions. For our examples, we set the spatial wavelength to be 40 km in all three directions, resulting in cubic "cells" 20 km on each side of alternating sign. The actual values added to MODEL0 are sinusoidal perturbations up to maximum 10% of the velocity value at each grid node. Note that since the perturbations are computed as percentages of the velocity values, the actual pattern added is not uniform over the model. To the synthetically generated data, normally distributed standard error with zero mean and 0.05 s standard deviation are added to simulate random error in the real data.

Using MODEL0 as the starting model, the synthetic data are inverted to stability using the same parameters as used in inversion of the actual data. The resultant model is called: MODEL1. The difference between MODEL0 and MODEL1 (MODEL1-MODEL0), scaled to the range -.1 to .1 using the reference velocity in MODEL0, is the output of the checkerboard test. These values are plotted in percentage (-100% to 100%).

If the recovery of the perturbation is perfect, the result should be an exact sinusoidal pattern in 3-D with maximum values in the center of each cell. With no recovery of the perturbations (null resolution), the values in the center of each cell are zero. However, the following caveat applies --  since the plots in this map view are horizontal slices through the model, if a slice falls on a zero value or node of the perturbation sinusoid, the plot should show zero (white cell values) even if resolution is perfect. The origin of the perturbation sinusoid is actually at -11 km (11 km above sea level), the starting position of the velocity model in depth. With checkerboard cells of 20 km, the first node in depth is at 9 km, the second node in depth at 29 km, and so on. A careful look at the 3-D checkerboard maps will show low amplitude values at these depths even when the resolving power of the inversion is high.


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