Introduction

Ambient noise seismology is a fundamental subdiscipline of seismology that extract information about the Earth structure from diffuse waves.

We will test NoisePy, a python package for ambient noise seismology. While the software is currently under active development, we will test its new functionality for-cross correlation on the AWS SCEDC data.

Follow the instructions to launch a cloud instance and install Docker.

1. Pull the image. This will pull the Docker image named seisscoped/noisepy from the GitHub Container Registry.

   sudo docker pull ghcr.io/seisscoped/noisepy:centos7_jupyterlab
   

2. Run the docker image as container. This will launch a Jupyter Lab within the container. The command also forwards port 8888 from the container to port 80 on the EC2 instance (default port of the http service).

   sudo docker run -p 80:8888 --rm -it ghcr.io/seisscoped/noisepy:centos7_jupyterlab\
       nohup jupyter lab --no-browser --ip=0.0.0.0 --allow-root  --IdentityProvider.token=scoped &
   

Then, follow the instructions to find the Public IP address and open the Jupyter notebook/lab with token scoped.