Machine Learning Hurricane Intensity Predictions Cookbook

Motivation

Here, you will learn how to run a simple AI model to predict hurricane intensity. You will first preprocess ERA5 environmental variables associated with each Tropical Storm in the IBTRACKS dataset. Then, you will use this preprocessed data to create and train an AI model to predict future cyclone intensity. You will gain experience working primarily with xarray and ...

Authors

Nirmal Alex, Matthew Lynne, etc. Acknowledge primary content authors here

Contributors

Structure

Introduction

An overview of our task at hand and a helpful review of our data sources and tasks.

Data Preprocessing

Process the data into a format that is appropriate for the AI model.

Training the Model

Build and run our model!

Running the Notebooks

You can either run the notebook using Binder or on your local machine.

Running on Binder

The simplest way to interact with a Jupyter Notebook is through Binder, which enables the execution of a Jupyter Book in the cloud. The details of how this works are not important for now. All you need to know is how to launch a Pythia Cookbooks chapter via Binder. Simply navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select “launch Binder”. After a moment you should be presented with a notebook that you can interact with. I.e. you’ll be able to execute and even change the example programs. You’ll see that the code cells have no output at first, until you execute them by pressing {kbd}Shift+{kbd}Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Note, not all Cookbook chapters are executable. If you do not see the rocket ship icon, such as on this page, you are not viewing an executable book chapter.

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

1. Clone the https://github.com/ProjectPythia/cookbook-example repository:

    git clone https://github.com/ProjectPythia/cookbook-example.git

2. Move into the cookbook-example directory

   cd cookbook-example

3. Create and activate your conda environment from the environment.yml file

   conda env create -f environment.yml
   conda activate cookbook-example

4. Move into the notebooks directory and start up Jupyterlab

   cd notebooks/
   jupyter lab