kjhall01/xcast
A High-Performance Data Science Toolkit for the Earth Sciences
This toolkit helps earth scientists and climate forecasters improve their predictions by applying advanced postprocessing techniques. You input gridded climate data sets, and it outputs refined, more accurate forecasts. It's designed for professionals working with climate and weather models who need to enhance the reliability of their projections.
No commits in the last 6 months.
Use this if you are an earth scientist or climate forecaster who needs to apply state-of-the-art postprocessing to gridded climate data to improve forecast accuracy.
Not ideal if you are looking for a tool to generate initial climate models or need general-purpose data analysis outside of climate forecasting.
Stars
71
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5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 08, 2024
Commits (30d)
0
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