lizhuoq/WeatherLearn
Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
This tool provides ready-to-use deep learning models for global weather forecasting. It takes current and historical weather data, including surface conditions and upper-air measurements, to predict future weather patterns. Meteorologists, climate scientists, and researchers can use this to generate accurate medium-range forecasts.
No commits in the last 6 months.
Use this if you need to perform global weather forecasting using state-of-the-art deep learning models like Pangu-Weather or Fuxi.
Not ideal if you are looking for localized, short-term weather predictions or models not based on deep learning.
Stars
94
Forks
26
Language
Python
License
MIT
Category
Last pushed
Apr 17, 2025
Commits (30d)
0
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