ClimateTriage - Impactful open source contributions

A wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science.

Data Analysis and Visualization in Python for Ecologists.

Help us build the most accessible and accurate climate tech resource on the planet.

A community learning resource for Python-based computing in the geosciences.

A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens.

Datasets, code and virtual workspace for the Climate Change ATLAS.

Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).

The aim of the project is to build an open source PV forecast that is free and easy to use.

Allows you to run any large weather model with a consumer grade GPU.

A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.

Converts battery testing data from native formats to a standardized HDF5 file.

A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.

An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.

A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.

Ocean and sea-ice model analysis tools and examples.