machine learning
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What Does It Mean for Soil To Be Healthy?
Yushu Xia’s research bridges field-based science and advanced modeling to inform more resilient land management strategies that benefit farmers, ranchers, communities and the planet.
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How Much Carbon Can the Ocean Hold? Lamont Researchers Aim To Find Out
Galen McKinley and her research group are quantifying how much carbon the ocean removes from the atmosphere—and how much it fluctuates—to better understand climate change.
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New Method Predicts Extreme Weather Events More Accurately
Columbia engineers have developed a machine-learning algorithm that will aid in understanding and mitigating the impact of extreme weather events, which are becoming more frequent in our warming climate.
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A Leap Toward a Sustainable Earth: Q+A with Climate Expert Pierre Gentine
As director of the Learning the Earth with Artificial Intelligence and Physics (LEAP) Center, Pierre Gentine is aiming to bring greater precision to climate modeling and innovative solutions to the climate crisis.
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How Studying the Clouds Can Improve Climate Models
Kara Lamb discusses her research using machine learning to study cirrus clouds and how it can increase the accuracy of climate models.
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Machine Learning Techniques Can Speed Up Glacier Modeling By A Thousand Times
Glacier modeling techniques that involve artificial intelligence can produce high fidelity results to a large number of questions much more quickly than traditional approaches.
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An Artificial Neural Network Joins the Fight Against Receding Glaciers
A new artificial neural network named CALFIN catalogues the rates at which glaciers are melting, demonstrating what the future of glaciology could look like.
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Using Machine Learning to Eradicate the Tsetse Fly in Sub-Saharan Africa
A Columbia team is pioneering a machine learning-based imaging and sorting solution that would help to drastically reduce Africa’s tsetse population.
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Machine Learning May Be a Game-Changer for Climate Prediction
A new study uses machine learning to better represent clouds in climate models, which helps to predict the climate’s response to rising levels of greenhouse gases.
By studying thousands of buildings and analyzing their electricity use, Columbia Climate School Dean Alexis Abramson has been able to uncover ways to significantly cut energy consumption and emissions. Watch the Video: “Engineering a Cooler Future Through Smarter Buildings“
