ClimateTriage - Impactful open source contributions

Defines a complementary format for energy yield assessment reporting to the main written report, aimed at facilitating automated solutions for data exchange.

A set of documented functions for simulating the performance of photovoltaic energy systems.

An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.

A collaboration server to plan atmospheric research flights.

Fighting global poverty with the help of everyday people and your coding skills.

Provides a message passing interface to enable different subsystem models to communicate water flux and water quality information between each other, and self-contained representations of the key parts of the water cycle.

Provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain.

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

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.

An energy system modelling framework for investment (expansion) and dispatch (operations) optimisations using mixed-integer linear programming (MILP) - primarily for informing policy-maker & stakeholder decisions in the energy transition. Focuses on generalized & compact formulations (peer-reviewed publications) and efficient code implementation to handle large-scale problems (i.e. European) while maintaining sufficient granularity.

An open source framework written in Java, that makes it easy to write complex software for power systems simulations and analysis.

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

An open software platform to train and deploy AI atmospheric prediction model.

Plant phenotyping using computer vision.

Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.