Preparations for inversion

This part prepares necessary files to run this examples, including:

Download filtered traveltime data raw link
Download the initial model in HDF5 format raw link

Users can directly run the following codes to generate all necessary files automatically.


python prepare_input_files.py

Here, we demonstrate the preparation step-by-step. First, please load necessary modules in Python Script:


import os
import requests

Download filtered traveltime data

The filtered traveltime data is downloaded as 1_src_rec_files/src_rec_file.dat.


url = 'https://zenodo.org/records/14065341/files/src_rec_file.dat?download=1'
 
path = "1_src_rec_files/src_rec_file.dat"
 
# check file existence
if not os.path.exists(path):
    try:
        os.mkdir("1_src_rec_files")
    except:
        pass
    print("Downloading src_rec_file.dat from Zenodo...")
    response = requests.get(url, stream=True)
    with open(path, 'wb') as out_file:
        out_file.write(response.content)
    print("Download complete.")
else:
    print("src_rec_file.dat already exists.")

Download initial model

The initial model is downloaded as 2_models/model_init_N51_89_33.h5.


url = 'https://zenodo.org/records/14065341/files/model_init_N51_89_33.h5?download=1'
 
path = "2_models/model_init_N51_89_33.h5"
 
# check file existence
if not os.path.exists(path):
    try:
        os.mkdir("2_models")
    except:
        pass
    print("Downloading model_init_N51_89_33.h5 from Zenodo...")
    response = requests.get(url, stream=True)
    with open(path, 'wb') as out_file:
        out_file.write(response.content)
    print("Download complete.")
else:
    print("model_init_N51_89_33.h5 already exists.")