October 5, 2021via Amazon Science
Philip Stier is cracking cloud-based climate conundrums
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.
Key signals
- AI and ML being merged with climate science
- Focus on aerosol-cloud interactions
- Oxford professor leading research
- Amazon Science research award recipient
The hook
Climate science just got an AI upgrade. Oxford's Philip Stier is using ML to crack one of weather prediction's hardest problems.
The Oxford professor says merging AI, ML, and climate science can help us understand the impact of aerosol-cloud interactions on climate.
Relevance score:75/100