ClimateTriage - Impactful open source contributions

Global Superstructure/Workflow currently supporting the Finite-Volume on a Cubed-Sphere Global Forecast System.

An open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray.

A software framework for supporting the efficient development, construction, execution, and scientific interpretation of atmospheric, oceanic, and climate system models.

An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.

A global atmosphere model targeted towards 3 km ("cloud resolving") resolution.

Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.

Used to generate experiments using the JEDI data assimilation system and NASA's Goddard Earth Observing System (GEOS) numerical weather forecast mode.

Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).

A state-of-the-art fully coupled model of the Earth's climate including important biogeochemical and cryospheric processes.

An accessor for xarray objects that interprets CF attributes.

A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.

Perform topography-based downscaling of climate data to the hillslope scale.

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

Access and analyze historical weather and climate data with Python.

A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.