Machine Learning Resources for Earth Sciences

This repository contains information about machine learning resources (such as summer schools, courses, webinars, conferences and workshops) broadly relevant to Earth Sciences.

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Content

• Workshops
• Summer schools
• Courses
• Webinars
• Resources from conferences
• Tutorials
• Papers on Machine Learning Applications to Earth Sciences
• Datasets

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Workshops

• Joint IS-ENES3/ESiWACE2 Virtual Workshop on New Opportunities for ML and AI in Weather and Climate Modelling (2021) (Link)

• Royal Meteorological Society (5 March 2021): Machine Learning Applications in the Atmospheric Sciences (Link)

• Online workshop: ML for Earth System Modelling and Analytics workshop 2021 (Link)

• 2nd NOAA Workshop on Leveraging AI in Environmental Sciences (Link)

• NeurIPS 2020 Workshop: AI for Earth Sciences (Link)

• Machine Learning for Earth Observation Training of Trainers Bootcamp (Link)

Summer Schools

• NCAR Summer school (2020) Artificial Intelligence for Earth System Science (AI4ESS) Summer School (Link)

Courses

• CIRA Short Course On Machine Learning For Weather And Climate (Link)

• AMS 2021 short course on Machine Learning in Python for Environmental Science Problems (Link)

• AI, Ethics, and Geoethics: An asynchronous Computer Science course (CS 5970) offered by University of Oklahoma – Norman (Link)

• Supervised Machine Learning: Case Studies in R (Link)

• An Introduction to Earth and Environmental Data Science (Link)

Webinars

• US CLIVAR Climate Variability and Predictability Program: Data Science webinar series (Link)

• Helmholtz-Zentrum Geesthacht Machine Learning seminars with connections to Earth science, climate and weather and materials science (Link)

Resources from conferences

• 20th Conference on Artificial Intelligence for Environmental Science (Link)

• 19th Conference on Artificial Intelligence for Environmental Science (Link)

Tutorials

• Scikit-learn: Machine Learning in Python (Link)

• Awesome Earth AI GitHub: A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. (Link)

• EarthML: Machine learning and visualization in Python for Earth science (Link)

• Notebook tutorials demonstrating advanced techniques for use of deep learning with TensorFlow and earth observation data. (Link)

• Satellite Machine Learning Training Manual (Link)

• A Machine Learning Pipeline for Climate Science (Link)

Papers on Machine Learning Applications to Earth Sciences

• Machine learning and artificial intelligence to aid climate change research and preparedness (Link)

• Papers on causal discovery with open codes (Link)

Datasets

• Weather and climate datasets for AI research (Link)