safe-earth 0.1.0

Stratified Assessments of Forecasts over Earth

SAFE

Stratified Assessment of Forecasts over Earth

Preprint and Website

Installation

pip install safe-earth

To build from source instead:

# get repo
git clone [e-mail]:N-Masi/safe.git

# create dev environment
conda create -n safe.env
conda activate safe.env
pip install --file requirements.txt
conda install --channel conda-forge pygmt plotly typing_extensions

Example

An example of using the package to collect metrics on 6 AIWP models across the territory, subregion, income, and landcover attributes is availabe in demos/iclr_workflow.py. It assesses the models using 2020 ERA5 data.

Data Notes

To unify the coordinate system across all integrated data sources, latitude ranges [-90, 90] with index 0 at -90, and longitude [-180, 180) but with index 0 at 0 and a wraparound from 180 to -180 in the middle. This is because metadata sourced from pygeoboundaries_geolab follows this coordinate system, and it is easiest to bring tabular data into conformance.

Testing

Run pytest in the of the source repository directory.