CliMA/ClimaAtmos.jl
ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.
This project helps climate scientists and atmospheric researchers simulate global atmospheric conditions, integrating real-world data to produce detailed models of weather and climate phenomena. You input initial atmospheric states and parameters, and it outputs time-evolved atmospheric data like condensed water path. This is for researchers who need to develop and test new theories about atmospheric processes.
116 stars.
Use this if you are a climate scientist or atmospheric researcher needing to simulate and analyze complex atmospheric dynamics with high-resolution models.
Not ideal if you are looking for a simple weather forecast application or a tool for general climate data visualization.
Stars
116
Forks
30
Language
Julia
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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