safe-earth 0.1.1

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 terminal of the repo directory while in python environment that has pytest installed.