Skip to main content

Stratified Assessments of Forecasts over Earth

Project description

SAFE

Stratified Assessment of Forecasts over Earth

Preprint and Website

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

safe_earth-0.0.15.tar.gz (26.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

safe_earth-0.0.15-py2.py3-none-any.whl (26.7 MB view details)

Uploaded Python 2Python 3

File details

Details for the file safe_earth-0.0.15.tar.gz.

File metadata

  • Download URL: safe_earth-0.0.15.tar.gz
  • Upload date:
  • Size: 26.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for safe_earth-0.0.15.tar.gz
Algorithm Hash digest
SHA256 a9001c2a965a45de76368096bcbc44c18790197cbd6404d5b61fff2f0b834f28
MD5 5c94893f86890a36804bd4d94cc0e05c
BLAKE2b-256 7d739612471ea38f77c5c046f3d01561ca4e5c83cd4e344adf2d22d91521bd51

See more details on using hashes here.

File details

Details for the file safe_earth-0.0.15-py2.py3-none-any.whl.

File metadata

  • Download URL: safe_earth-0.0.15-py2.py3-none-any.whl
  • Upload date:
  • Size: 26.7 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for safe_earth-0.0.15-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9daa939b0bf1f0a5edd9e94fa01108844ac9022e59af3646ba18711eb6b26720
MD5 498227bfba35dfaf9a343b35021d632a
BLAKE2b-256 01e6a419e0f16ecc3cb14b30df9eaddade72c10207e1a29be5ea9d451a11cc85

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page