ClimateTriage - Impactful open source contributions

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.

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

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

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

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.

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.).

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.

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

Ocean and sea-ice model analysis tools and examples.

Data Analysis and Visualization in Python for Ecologists.

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

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

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

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