ClimateIQ is a dynamic modeling environment leveraging machine learning and high resolution physical climate models to reveal hotspots of climate hazard exposure.
Our interactive digital dashboard allows communities to identify areas facing threats from multiple climate-related hazards. ClimateIQ is built especially for users lacking extensive data resources or modeling capacity and empowers communities to make data-driven decisions, prioritize responses, and enhance their resilience.
ClimateIQ drives innovation in climate hazard assessments by training our core ML environment with physics-based hydrological flood hazard and urban heat model outputs. The tool is designed to serve city planners and marginalized communities seeking localized climate risk data to prioritize interventions, create resilience adaptation plans, and to plan and prepare for emergency response where risks are likely to be greatest from extreme heat and flooding from extreme rainfall.
Developed by a team of researchers at The New School’s Urban Systems Lab with support from Google.org, Google, and partners at Virginia Climate Center, Arizona State University, Cary Institute of Ecosystem Studies, Stockholm Resilience Centre, and others.