Orion-AI-Lab/televit
Teleconnection-driven vision transformers for improved long-term forecasting
This tool helps meteorologists, climate scientists, and disaster response planners predict wildfire risk months in advance. It takes in global climate data, including broad-scale atmospheric patterns, and outputs forecasts for where and when wildfires are likely to occur over subseasonal to seasonal timescales. The primary users are researchers or analysts focused on long-term environmental forecasting and wildfire prevention.
No commits in the last 6 months.
Use this if you need to generate long-range wildfire risk assessments by leveraging advanced climate modeling and teleconnection data.
Not ideal if you need real-time wildfire detection or short-term fire behavior predictions, as it focuses on longer forecasting horizons.
Stars
35
Forks
7
Language
Python
License
—
Category
Last pushed
Nov 01, 2023
Commits (30d)
0
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