ClimateTriage - Impactful open source contributions

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.

Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.

Decode CINRAD (China New Generation Weather Radar) data and visualize.

Ocean and sea-ice model analysis tools and examples.

A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies.

A collaboration server to plan atmospheric research flights.

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

A global network of nearly 4000 autonomous probes measuring pressure, temperature and salinity from the surface to 2000m depth every 10 days.

Holds a list of open source Python packages interesting to Hydrologists.

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 Python package which is used to make short term forecasts for the energy sector.

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

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.

Fast and flexible physics-based battery models in Python.

A python package to retrieve and process historical emissions data of the National Electricity Market, reproduced by datasets published by the Australian Energy Market Operator.