ClimateTriage - Impactful open source contributions

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.

These tools help you to assess if a financial portfolio aligns with climate goals.

Download and process satellite imagery in Python using Sentinel Hub services.

A CartoCSS map style designed with cycling in mind.

A land surface model, used to calculate the fluxes of momentum, energy, water and carbon between the land surface and the atmosphere and to model the major biogeochemical cycles of the land ecosystem.

Community list of transit APIs, apps, datasets, research, and software.

A collaborative website for better access to data and models in the hydrologic sciences.

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

A tool to synthesise urban drainage network models using publicly available data such as street network, DEM, and building footprints, across the globe.

A unique chemistry module that can be implemented in any atmosphere model used at NCAR.

A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.

This framework includes an encapsulation strategy which focuses on the hydrologic data first, and then builds a functional abstraction of hydrologic behavior.

Uses eBPF to probe energy related system stats and exports as Prometheus metrics.

The Atmospheric data Community Toolkit is an open source Python toolkit for working with atmospheric time-series datasets of varying dimensions.