georgemilosh/Climate-Learning
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
This project helps climate scientists and researchers analyze and predict extreme climate events like heatwaves and cold spells. It takes climate model data (like temperature, geopotential height, and soil moisture) and uses machine learning to output the conditional probability of these rare events occurring. Climate modelers, meteorologists, and environmental scientists focused on climate change impact would find this useful.
No commits in the last 6 months.
Use this if you need to understand and predict the likelihood of specific rare extreme weather events using climate model outputs or reanalysis data.
Not ideal if you are looking for real-time weather forecasting or have limited computational resources, as it's designed for large climate datasets and cluster computing.
Stars
24
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 27, 2025
Commits (30d)
0
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