ClimateTriage - Impactful open source contributions

An accessor for xarray objects that interprets CF attributes.

Groundwater Wells and Aquifers application for the Ministry of Environment in British Columbia.

Building energy modeling (BEM) tool designed to model flexible loads in residential buildings.

Calculates the energy consumption of Python scripts by sampling usage statistics from your hardware components.

A repository of graph-based neural weather prediction models for Limited Area Modeling.

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 platform for building energy flexibility services with forecasting and scheduling, written in Python & offering a USEF-conform API.

An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.

An open international initiative of scientists interested in the advancement of the understanding of the global aerosol and its impact on climate.

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

A framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework and model.

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.

Provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.

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

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