For 92% of the world, the highest extreme climate risk comes from precipitation-related events, with most of those driven by rain. If those numbers sound dire, they don’t brighten up when you factor in the infrastructure decline in the US. Thankfully, there are academic voices doing the difficult work of highlighting the challenges and coming up with potential solutions.
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While you can’t completely predict the future, you can definitely model it, which is exactly what the MIT Office of Sustainability is doing. For this webinar, our own Ryan Brown joined MIT Climate Resiliency Modeler Katerina (Katya) Boukin to talk about how they are developing a new framework that combines machine learning models, high-resolution GIS data, and 2D flood simulation using InfoWorks ICM to better predict floods and the damages they will cause. They take a deep dive into MIT’s own case study to determine how bad flooding might get on the MIT campus and the city of Cambridge that surrounds the campus – and what they’re doing to prepare.
You can get a certificate of attendance by registering and watching on the WaterWorld website. Or, watch it here on the One Water blog.