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Making climate models relevant for local decision-makers
MIT News features work by ERL/EAPS Principal Research Scientist Dr. Sai Ravela: A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels. by Paige Colley|EAPS June 11, 2024 Climate models are a key technology in predicting the impacts of climate change. By running…
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Experimentally assessing the uncertainty of forecasts of geological carbon storage
How accurately can researchers predict the results of underground carbon storage? Prof. Ruben Juanes of ERL/CEE is part of a team addressing this question with a new paper in the International Journal of Greenhouse Gas Control. https://www.sciencedirect.com/science/article/pii/S1750583624001051 “Geological storage of carbon dioxide is a cornerstone in almost every realistic emissions reduction scenario outlined by the…
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H2 Underground
During MITEI’s Spring Symposium, MIT Assistant Professor Iwnetim Abate said that geologic hydrogen opens up the idea of earth as a “factory to produce clean fuels,” utilizing the subsurface heat and pressure instead of relying on burning fossil fuels or natural gas for the same purpose. MIT News takes a closer look at geologic hydrogen…
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Is it safe to store CO2 underground?
Today, companies are storing millions of tons of carbon dioxide underground every year to prevent this climate pollution from warming the planet. In the future it might be billions of tons. But is it dangerous to pump so much liquefied carbon below our feet? Geologist and carbon storage expert Prof. Bradford Hager joins MIT’s TILclimate…