ClimateTriage - Impactful open source contributions

A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.

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

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

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.

Home Assistant integration for Anker Solix Power devices.

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

Tool for Energy Analysis and Simulation for Efficient Retrofit.

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

A collection of tools in Python for reading, visualizing and performing calculations with weather data.

Provides intuitive programming libraries to process a wide variety of earth observation datasets.

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

A Python software package that provides fundamental tools for accessing, loading and interacting with solar physics data in Python.

Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.

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

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