ClimateTriage - Impactful open source contributions

An open source project for working with ocean wave spectral data.

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.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

Aims to be the primary package used to analyze output from initialized dynamical forecast models, ranging from short-term weather forecasts to long-term climate forecasts.

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

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.

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

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

A python package that downloads recent and archived numerical weather prediction model output from different cloud archive sources.

An accessor for xarray objects that interprets CF attributes.

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

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

A remote-sensing opensource python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.