The goal of this repository is to have a central codebase in which agreed upon metrics are applied to different global ocean forecast models, in order to have a fair comparison.
conda create -n <your_env> python=3.12
conda activate <your_env>
pip install -r requirements.txt
This repository works using metrics configuration files located in config/metrics/. You can see how to create your own configuration file here.
The repository is then used like so:
make sure you execute code from inside the repo
cd MultiModel-OceanGobalEval
python main.py metrics=metrics_config_template
This code will:
- download the reference data specified in
metrics_config_template.yaml - pre-process your model according to the model_type specified in
metrics_config_template.yaml - compute metrics specified in
metrics_config_template.yaml
The initial metrics codebase is comprised of code from the ocean data challenges gihtub repo.