LEAP_REU_Dataset_Notebook

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.

Data slicing and preprocessing

REU23_slice_preprocess_data.ipynb

It is a clean and efficient notebook using Dask packages and parallel running. VERY IMPORTANT to read!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

ML tutorial

Containing two notebooks:

1. part1 shows how to prepare the data for ML purposes, such as subsampling and normalization
2. part2 shows how to build a simple emulator (MLP model) using ClimSim dataset

Climate Analysis tutorial

In this tutorial, we show students how to use Python Xarray for preprocessing, analyzing and visualizing the ClimSim dataset.

There are two versions:

1. exercise version for student practice
2. tutorial version for presentation of the REU dataset