ClimateTriage - Impactful open source contributions

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

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

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

This toolbox allows you to easily access data and download hundreds of data sets associated with climate change for analysis in MATLAB.

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

Analysis framework and collection of process-oriented diagnostics for weather and climate simulations.

Geospatial processing toolbox for environmental and climate studies.

A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.

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.

Creation of flood inundation raster libraries and rating curves from HEC-RAS models.

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

Access and analyze historical weather and climate data with Python.

Datasets, code and virtual workspace for the Climate Change ATLAS.

Python library for climate indices and climate indicators calculation.

Provides easy access to the European Centre for Medium-Range Weather Forecasts web API services and Copernicus Climate Data Store from within R, matching and expanding upon the ECMWF Python tools.