ClimateTriage - Impactful open source contributions

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

A collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

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

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

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

A spectral dynamical core for global atmospheric modeling written in JAX.

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

Ocean and sea-ice model analysis tools and examples.

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.

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.

A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.

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.).

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