spaceml-org/karman
Data Driven Thermospheric Density Modeling with Machine Learning
This project helps space weather forecasters and satellite operators predict and understand changes in the Earth's upper atmosphere, specifically thermospheric density. It takes in various solar and geomagnetic data, along with existing thermospheric density measurements, and outputs current and future density values. Space operations engineers, scientists studying the Sun's influence on Earth, and researchers developing atmospheric models would use this.
Use this if you need to accurately nowcast or forecast thermospheric density using machine learning models and integrate diverse solar and geomagnetic data sources.
Not ideal if you primarily rely on older, empirical models without integrating new data or are not working with space environment data.
Stars
10
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 19, 2026
Commits (30d)
0
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