A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).

Systematic assessment of the impacts of climate change on human pathogenic diseases

A Python package to detect heat wave events using pandas.

Physics-informed ensemble for 12-h city-region temperature forecasts. Advection–diffusion prior + ConvLSTM + RAFL + edRVFL-SC for extreme-event warnings.

Code snippet introduces diverse statistical and geospatial data analytics with python focusing on analysis of ERA5-land 2m air temperature

This project supports urban heatwave risk assessment in Filipino cities by developing geospatial data products on heat vulnerability, air quality, and mobility impacts. It provides evidence and tools for Local Government Units (LGUs) to integrate heat risk into land use planning and climate resilience frameworks.

Review paper describing how a systems modelling approach can help predict how biological systems respond to extreme heat

ODB Marine Heatwave open-data/API

This repository contains the code and models used in the paper "Understanding European Heatwaves with Variational Autoencoders".

This project analyzes heatwave vulnerability and air quality in Kerala, India, using geospatial and environmental data. It examines land surface temperature, air pollution, and climate risk indicators in Kochi and Thiruvananthapuram to support evidence-based climate resilience planning for local governments.

Global assessment of all known impacts of climate change on humanity

Visualises exposure to heatwaves and the excess deaths countries face from them.

Hamburg City – Climate-induced stressors and their effects on urban societies

Supporting code for Black et al, 2024.

This project develops geospatial data products to support urban heatwave risk assessment in Filipino cities. It maps historical heatwave occurrences, analyzes heat vulnerability using socio-demographic and air quality indicators, and tracks mobility changes during heatwave events to support land use planning and climate resilience policy.

This repository is team Singapore's contribution to the course Modern Data Analytics at KU Leuven. It looks into the relationship between heatwaves and labour productivity. It was assembled by Elizabeth North, Kinga Anna Nowak, Sarah Pirenne, and Xin Zhang. Since May of 2021, updates to this repository have stopped.

Honours Dissertation Repository by Ellie Bestington, 2026. Supervised by Dr Claudia Colesie and Dr Elise Gallois.