Earthly Machine Learning (EML) Podcast Repository

Welcome to the official repository for Earthly Machine Learning (EML).

Listen to the Podcast

• Apple Podcasts
• Podcast Addict
• Castbox
• Goodpods
• Spotify (our least favorite platform, but included just in case)

Earthly Machine Learning (EML) brings you concise, AI-generated summaries of the latest machine learning research in weather, climate, and Earth sciences. The podcast is designed to make it easy to understand key insights from papers and decide whether to explore them in detail.

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Repository Contents

This repository is organized into two main folders:

1. tools/ 🛠️
   Contains scripts used for:

   • Querying research papers for NotebookLM

2. papers/ 📚 Contains comprehensive tables of research papers discussed in each podcast episode, organized by year:

   • episods_2025.md - Episodes from 2025
   • episods_2026.md - Episodes from 2026

   Each file includes episode number, name, paper title, DOI link, and podcast link (when available).

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How to Use

• Use the tools/ folder to explore and run scripts for research paper processing.
• Navigate to the papers/ folder to browse episodes by year and access research papers and podcast links.
• Each episode table provides direct links to both the academic paper (DOI) and the podcast episode.

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Contribute

If you'd like to contribute to the project, feel free to:

• Open an issue to suggest improvements, paper to include or new features

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Thanks for supporting Earthly Machine Learning (EML)! 🌍🤖