Quickstart

NOTE: Only need the dataset? Jump directly to Step 2. You need ~150GB of free disk space. If you find any problems, feel free to contact us or raise a GitHub issue.

Step 0: Clone the ChaosBench Github repository

Step 1: Install package dependencies

$ cd ChaosBench
$ pip install -r requirements.txt

Step 2: Initialize the data space by running

$ cd data/
$ wget https://huggingface.co/datasets/LEAP/ChaosBench/resolve/main/process.sh
$ chmod +x process.sh

Step 3: Download the data

# Required for inputs and climatology (e.g., for normalization; 1979-)
$ ./process.sh era5
$ ./process.sh lra5
$ ./process.sh oras5
$ ./process.sh climatology

# Optional: control (deterministic) forecasts (2018-)
$ ./process.sh ukmo
$ ./process.sh ncep
$ ./process.sh cma
$ ./process.sh ecmwf

# Optional: perturbed (ensemble) forecasts (2022-)
$ ./process.sh ukmo_ensemble
$ ./process.sh ncep_ensemble
$ ./process.sh cma_ensemble
$ ./process.sh ecmwf_ensemble

# Optional: state-of-the-art (deterministic) forecasts (2022-)
$ ./process.sh panguweather
$ ./process.sh fourcastnetv2
$ ./process.sh graphcast