heatwaves

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

ODB Marine Heatwave open-data/API

This repository contains the code and models used in the paper "A multivariate analysis of atmospheric drivers for Western European heatwaves".

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

An open-source multilingual PWA for mapping and ranking heat discomfort with the Thom Index.

Multi-agent simulation of water allocation during heatwaves using LLM-based agents.

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

Supporting code for Black et al, 2024.

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

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

Mehrsprachige Web-App zur Analyse von Hitzetagen und Tropennächten an MeteoSwiss-Messstationen – mit Jahresvergleich, Prognose und interaktiver Schweizkarte.

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.

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.

Reproducible Python framework for detecting and characterizing regionally extensive compound heatwaves in the Eastern Mediterranean and Middle East.

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

A reproducible framework for investigating how compound drought–heat extremes influence urban water resilience, integrating climate hazards, hydrological dynamics, and socioeconomic water system responses.

A Python package to detect heat wave events using pandas.

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

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