ClimateTriage - Impactful open source contributions

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

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 spectral dynamical core for global atmospheric modeling written in JAX.

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

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.

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

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.

Simulating aeolian sediment transport in situations where supply-limiting factors are important, like in coastal environments.

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

Repository for the Framework for Accessing Changes To Sea-level.

Ocean and sea-ice model analysis tools and examples.