ClimateTriage - Impactful open source contributions

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

A Python package for data-wrangling, analysis and visualization of integrated-assessment scenarios and energy systems modeling results.

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

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

Provide a better understanding of the degree of impact flood events can have on physical assets like buildings, roads, railways, transmission lines, etc.

Norwegian Earth System Model and Documentation.

Xarray extension for unstructured climate and global weather data analysis and visualization.

Assesses the potential risk and forecasts the impact of climate hazards on the most vulnerable communities, in order to design risk reduction activities and target disaster responses.

A library of derived climate variables, i.e. climate indicators, based on xarray.

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

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

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

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

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 Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.