This tutorial is a beginner-friendly walk through the complete machine learning workflow, using real earthquake data from the US Geological Survey. By the end, you will have built and evaluated a model that flags earthquakes likely to trigger a tsunami, while learning every concept from the ground up.
Author:
- Tarini Bhatnagar, Senior Solutions Architect AI, NVIDIA
We recommend executing this notebook in a Colab environment to gain access to GPUs and to manage all necessary dependencies.
Please refer to these GitHub instructions to open a pull request via the "fork and pull request" workflow.
Pull requests will be reviewed by members of the Climate Change AI Tutorials team for relevance, accuracy, and conciseness.
Check out the tutorials page on our website for a full list of tutorials demonstrating how AI can be used to tackle problems related to climate change.
Usage of this tutorial is subject to the MIT License.
Bhatnagar, T. (2026). Introduction to AI: Predicting Tsunami Alerts from Earthquake Observations [Tutorial]. In Climate Change AI Summer School. Climate Change AI. https://doi.org/10.5281/zenodo.21443710
@misc{tarinibhatnagar2026tsunami,
title={Introduction to AI: Predicting Tsunami Alerts from Earthquake Observations},
author={Bhatnagar, Tarini},
year={2026},
organization={Climate Change AI},
type={Tutorial},
doi={https://doi.org/10.5281/zenodo.21443710},
booktitle={Climate Change AI Summer School},
howpublished={\url{https://github.com/climatechange-ai-tutorials/intro-ai-tsunami-alerts}}
}