Dynamic Time Warping Proximity Analysis (DTW-PA)

The files provided include the results of the FWI numerical simulations presented in Table 2 of the manuscript. Due to Zenodo's size limitations, some files could not be uploaded, as:

• Seismograms from the l_bfgs_b_... folders.
• DTW best path results from the l_bfgs_b_..., initial_proximity_eval, and proximity_eval... folders.

The l_bfgs_b_... folders contain data for each multiscale step. The folder name indicates the low-pass frequency filter (FF) applied at each step and the intermediate step (IS) (e.g., l_bfgs_b_FF-10.0Hz_IS-1).

The initial_proximity_eval folders contain files from the Dynamic Time Warping Proximity Analysis (DTW-PA) conducted prior to the first multiscale step using a 5 Hz low-pass filter. These files assess the initial model's proximity to the target data.

The proximity_eval... folders contain DTW-PA results used to evaluate the low-pass frequency filters for subsequent multiscale steps. Each folder name specifies the filter tested (e.g., proximity_eval-10.0Hz).

CODE

Each simulation folder contains a code subfolder, which includes the scripts and code used to run the numerical simulations. The following files are included in each folder:

• A .py script for running the FWI numerical simulation.
• ..._pa_plt.py to generate DTW-PA figures.
• ..._plt.py to produce additional figures.
• A .npy velocity model, when needed.
• The requirements.txt.

Additionally, .slurm files are provided, as the simulations were executed on a cluster using the SLURM job scheduler. These files are supplied AS-IS and must be adjusted to fit your specific computational environment.