ClimateTriage - Impactful open source contributions

Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.

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.

Ocean and sea-ice model analysis tools and examples.

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

A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.

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

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

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.

Set of tools to calculate degradation responses and degradation related parameters for PV.

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

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

Multi-resolution ocean general circulation model that solves the equations of motion describing the ocean and sea ice using finite-element and finite-volume methods on unstructured computational grids.

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 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.