djgagne/hagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
This project helps meteorologists and weather forecasters analyze and predict severe storms, specifically hail. It takes raw output from numerical weather prediction models and processes it to identify and track storm cells. The result is calibrated probabilities of severe hazards, helping users understand the likelihood and intensity of events.
No commits in the last 6 months.
Use this if you need to transform complex weather model data into clear, quantifiable severe storm probabilities for forecasting and research.
Not ideal if you're looking for a general-purpose weather visualization tool or a system for real-time, high-stakes operational storm warnings without a meteorological background.
Stars
72
Forks
25
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 10, 2024
Commits (30d)
0
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