ClimateTriage - Impactful open source contributions

An extension of xarray for climate data analysis on structured grids.

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

An integrated food supply model for resilient foods in nuclear winter.

Computer vision library for wildfire detection.

Python tools for obtaining and working with ICESat-2 data.

Provides a comprehensive suite of tools for parameterisation and optimisation of battery models.

A cloud platform for greenhouse gas data analysis and collaboration.

A powerful, format-agnostic, community-driven Python package for analyzing and visualizing Earth science data.

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.

Wildfire Predictive Services to support decision making in prevention, preparedness, response and recovery.

An Open Optimisation Model of the Earth Energy System.

An open-source energy optimization system that integrates renewable energy sources, such as photovoltaic (PV) systems, battery storage, and smart load management solutions.

A data warehouse for high-powered scenario analysis, with interfaces to Python and R for efficient scientific workflows and effective data pre- and post-processing, and a structured database backend for version-controlled data management.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

An open-source Python framework for the analysis of groundwater time series.