Adaptation and ResilienceClimate PolicyClimate ScienceReducing Emissions

MIT Faculty and Researchers

Noelle Eckley Selin (lead), Raffaele Ferrari (lead), Tamara Broderick, Alan Edelman, Arlene Fiore, Glenn Flierl, Christopher Knittel, John Marshall, Youssef Marzouk, Elsa Olivetti, Bethany Patten, Chris Rackauckas, Daniela Rus, Adam Schlosser, Andre Souza, Gregory Wagner

Research summary

Anthropogenic climate change will reshape our world, but we lack sufficiently accurate projections of how. The goal of this grand challenge is to provide accurate and actionable scientific information to choose the most effective mitigation and adaptation strategies. We envision a novel platform that leapfrogs existing climate decision support tools by leveraging advances in computational and data sciences to improve the accuracy of climate models, quantify their uncertainty, and choose the optimal trade-off between performance and computation time for industry and government stakeholder needs. First, we will develop a digital twin of the Earth that harnesses more data than ever before to reduce and quantify uncertainties in climate projections. To serve the needs of stakeholders, we will then develop surrogate versions of the digital twin tailored to maintain the highest possible accuracy in predicting specific variables, like droughts, floods, or heat waves, while still being easy and fast to run.

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