University of Cambridge > > AI4ER Seminar Series > The potential for AI in the study of Southern Ocean Clouds

The potential for AI in the study of Southern Ocean Clouds

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Clouds and aerosols represent the biggest sources of uncertainty in the current and future estimates of the Earth’s radiative balance. The resulting climate model biases in surface radiation and temperatures are largest over the Southern Ocean, a region which is also considered pivotal for the global climate system. Evidence suggests that these biases are primarily due to the poor representation of mixed phase clouds (MPCs) in these models. The Southern Ocean Cloud (SOC) project is a holistic, multi-scale and multi-disciplinary approach which aims to improve understanding of aerosol and cloud microphysics – particularly of MPCs – through a combined measurement and modelling effort. In this talk I will briefly introduce the role of aerosols and clouds in global climate, the objectives and measurements of the SOC project and the potential for AI to contribute to the study of Southern Ocean clouds.

This talk is part of the AI4ER Seminar Series series.

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