This repository contains two tutorials showing how to carry out climate analysis and apply machine learning techniques using ClimSim data for 2023 summer REU project at LEAP center.
REU23_slice_preprocess_data.ipynb
It is a clean and efficient notebook using Dask packages and parallel running. VERY IMPORTANT to read!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Containing two notebooks:
- part1 shows how to prepare the data for ML purposes, such as subsampling and normalization
- part2 shows how to build a simple emulator (MLP model) using ClimSim dataset
In this tutorial, we show students how to use Python Xarray for preprocessing, analyzing and visualizing the ClimSim dataset.
There are two versions:
- exercise version for student practice
- tutorial version for presentation of the REU dataset