Stratified Assessments of Forecasts over Earth
Project description
SAFE
Stratified Assessment of Forecasts over Earth
Installation
pip install safe-earth
To build from source instead:
# get repo
git clone git@github.com: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, and income
attributes is availabe in demos/wb2_240x121.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.
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