Jagger Alexander

Code

You can access data and codes by clicking on the links below:

Decoding sub-seasonal drivers of heat waves using machine learning

These Python scripts uses machine learning to analyze the predictive strength of different meteorological, atmospheric, ocean, soil moisture, and large-scale climate features on heat waves at the subseasonal time scale.

Data Files

• City_dfs.pkl (Pickle file required for Jupyter Notebook)

Main Code

• HeatWaveDrivers.ipynb