ClimateNet

ClimateNet is a Python library for deep learning-based Climate Science. It provides tools for quick detection and tracking of extreme weather events. We also expose models, data sets and metrics to jump-start your research.

Installation

Conda

conda env create -f environment.yml
conda activate climatenet

To update the environment

    conda env export --no-builds | grep -v "^prefix: " > environment.yml

Repository Structure

This repository contains two extensions of the climatenet base model:

Curriculum Learning

The folder cl contains the code and supplementary material used for curriculum learning. Further information can be found here.

Baseline Extension

The folder climatenet_plus contains the original code as well as supplementary code and material for extensions to the baseline model. For further information please see here

Feature Selection

The folder feature_selection contains jupyter notebooks used for statistical analysis of the dataset.

Data

You can find the data at https://portal.nersc.gov/project/ClimateNet/.

Dataset: https://gmd.copernicus.org/articles/14/107/2021/

Methods: https://ai4earthscience.github.io/neurips-2020-workshop/papers/ai4earth_neurips_2020_55.pdf