ClimateTriage - Impactful open source contributions

A multi-modal late-fusion model for predicting renewable energy generation from weather data.

An R binding package for calling Google Earth Engine API from within R.

Atool for running simulations of energy systems. It is written in Rust and its purpose is to provide users with a framework to simulate pathways of energy system transition. These transitions are usually in the context of climate change mitigation.

A library for steady-state distribution power system analysis distributed for Python and C.

A Python package that uses standardized facility release and generation data to create regionalized life cycle inventory (LCI) models for the generation, mix of generation, mix of consumption, and distribution of electricity to end users for the US, with embedded system processes of upstream fuel production and infrastructure.

Makes the US' energy data easier to access and use.

A spatial, large-scale analytical model for simulating forest harvest and it's potential influence on other forest values (e.g., wildlife habitat).

Aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.

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

Aims to provide a way for Python users to discover and load data across a broad range of climate data products available on the Australian NCI supercomputer Gadi.

A domain ontology of the energy-system modeling context.

A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

Measures, tracks, and rewards the impact on gardens with a simple Progressive Web App.

A free software toolbox for simulating and optimizing modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks.

A lumped-mass mooring line model intended for coupling with floating structure codes.