derevirn/co2-forecasting
Forecasting Atmospheric CO2 Concentration with Classical and Machine Learning Models.
This project helps environmental scientists, climate researchers, or policy analysts predict future atmospheric CO2 levels. It takes historical Mauna Loa CO2 data and generates forecasts for upcoming periods, enabling better understanding of climate trends. The output is a clear prediction of CO2 concentration, allowing for data-driven insights into environmental changes.
No commits in the last 6 months.
Use this if you need to generate accurate, data-driven forecasts of atmospheric CO2 concentration using established models.
Not ideal if you need real-time CO2 monitoring or an extensible framework for novel climate modeling research.
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Last pushed
Mar 22, 2022
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