A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).
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Updated
Mar 6, 2026 - MATLAB
A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).
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.
Physics-informed ensemble for 12-h city-region temperature forecasts. Advection–diffusion prior + ConvLSTM + RAFL + edRVFL-SC for extreme-event warnings.
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.
Code snippet introduces diverse statistical and geospatial data analytics with python focusing on analysis of ERA5-land 2m air temperature
Mehrsprachige Web-App zur Analyse von Hitzetagen und Tropennächten an MeteoSwiss-Messstationen – mit Jahresvergleich, Prognose und interaktiver Schweizkarte.
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.
Global assessment of all known impacts of climate change on humanity
This repository contains the code and models used in the paper "A multivariate analysis of atmospheric drivers for Western European heatwaves".
Visualises exposure to heatwaves and the excess deaths countries face from them.
An open-source multilingual PWA for mapping and ranking heat discomfort with the Thom Index.
Hamburg City – Climate-induced stressors and their effects on urban societies
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.
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.
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