ClimateTriage - Impactful open source contributions

Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.

An open-source solution to compute the carbon emissions due to the mobility of a local population.

Analysis of Paleoclimate Data.

A Python package which is used to make short term forecasts for the energy sector.

Multi-resolution ocean general circulation model that solves the equations of motion describing the ocean and sea ice using finite-element and finite-volume methods on unstructured computational grids.

Apparatus to determine total alkalinity in sea water using an open-cell titration.

Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks.

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

An energy system modelling framework for investment (expansion) and dispatch (operations) optimisations using mixed-integer linear programming (MILP) - primarily for informing policy-maker & stakeholder decisions in the energy transition. Focuses on generalized & compact formulations (peer-reviewed publications) and efficient code implementation to handle large-scale problems (i.e. European) while maintaining sufficient granularity.

Tools for panoptic segmentation and developing machine learning models for benthic imagery.

A platform for building energy flexibility services with forecasting and scheduling, written in Python & offering a USEF-conform API.

A 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model.

Developed collaboratively and mostly reusing existing open-source components, VEDA consolidates GIS delivery mechanisms, processing platforms, analysis services, and visualization tools and provides an ecosystem of open tools for addressing Earth science research and application needs through the public-facing VEDA Dashboard.

Helping states, municipalities, utilities, and manufacturers identify which building stock improvements save the most energy and money.

A Python library for computing Finite-Amplitude Local Wave Activity from climate data.