ClimateTriage - Impactful open source contributions

Aims to make the data about trees in Great Britain more accessible and understandable, whilst still maintaining good industry practices.

Ocean and sea-ice model analysis tools and examples.

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

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.

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

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

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

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.

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.).

Deep learning tools that accelerate the review of motion-triggered wildlife camera images.

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

Data Analysis and Visualization in Python for Ecologists.

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

A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.