A collaborative project was done to address the increasing risks associated with heat and cold wave events. Through historical trend analysis and regression model development, stakeholders aim to provide decision-makers with predictive insights to enhance preparedness. The project culminated in the creation of a web-based application, refined through iterative processes, which promises to revolutionize how communities anticipate and respond to temperature extremes.

Key points of this projects are:

• Organize an inception workshop with participation from wider stakeholders to share the project details and refine the methodology.
• Historical trend analysis of heat and cold waves events and using heat indices.
• Developing regression models for correlating heat and cold wave incidents with the weather data.
• Develop a web based application for anticipating heat and cold wave events based on future weather outlook.
• Finalize the tool incorporating feedbacks from the sharing meeting and peer review.
• Share final tool with the START Network team for wider implementation.