Jupiter HeatScore is an application built on top of the Jupiter ClimateScore Intelligence Platform that accounts for the urban influences on temperature, i.e., urban heat islands, at building scale. HeatScore probabilistically predicts the number of extreme temperature days per year above a specified threshold over a 20-plus-year time frame and provides the frequency of extreme heat risk as probability distributions for variables, such as multi-day heat events above a defined threshold, and heat stress parameters including humidity (heat index). The application calculates and analyzes historical heat events. Jupiter HeatScore allows our customers to anticipate and plan for heat impacts on utilities, emergency management, and urban infrastructure. Key features include:

• Predicts the number of extreme temperature days per year above a specified threshold

• Represents urban sources of heat and other city features at 30m resolution

• Sophisticated UI for reviewing results at the asset level