GP Modelling for Cloud Size Distribution

About This Book¶

This webpage provides a collection of Jupyter notebooks accompanying the paper Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression by Oh and Austin, 2024 showing the numerical steps taken to obtain the results presented in the paper.

The full Github repository can be found here, which also includes a set of Python scripts, mainly used to pre-process the three-dimensional output fields from the high-resolution large-eddy simulation. Most of the notebooks focus on using the Gaussian Process (GP) model to quantify the oscillatory behaviour in the slope of the cloud size distribution.