Philip Stier is cracking cloud-based climate conundrums
Climate science just got an AI upgrade. Oxford's Philip Stier is using ML to crack one of weather prediction's hardest problems.

Why it matters
AI and machine learning are being applied to solve complex climate modeling challenges, specifically aerosol-cloud interactions, representing a significant application of AI in climate science research.
The key facts
4 to knowAI and ML being merged with climate science
Focus on aerosol-cloud interactions
Oxford professor leading research
Amazon Science research award recipient
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: The Oxford professor says merging AI, ML, and climate science can help us understand the impact of aerosol-cloud interactions on climate.

