We’ve discovered the best way to predict climate over the previous century by understanding the science that governs Earth’s ambiance and harnessing sufficient computing energy to generate world forecasts. However in simply the previous three years, AI fashions from corporations like Google, Huawei, and Nvidia that use historic climate knowledge have been releasing forecasts rivaling these created by conventional forecasting strategies.
This video explains the promise and challenges of those new fashions constructed on synthetic intelligence quite than numerical forecasting, significantly the flexibility to foresee excessive climate.
Further studying:
- Listed here are the papers that describe the fashions talked about within the video.
- Google’s GraphCast
- Huawei’s Pangu-Climate
- Nvidia’s FourCastNet
- Right here is the announcement of the ERA5 dataset, launched by the European Centre for Medium-Vary Climate Forecasts in 2020.
- We interviewed Aaron Hill over electronic mail for this video. Hill is concerned in creating accountable AI for environmental science by way of AI2ES.
- Google has additionally developed a climate forecasting mannequin known as Nowcasting, which is already embedded in its climate merchandise particularly for short-term precipitation forecasts.
- If you happen to’re eager about studying extra concerning the historical past of how we developed climate forecasting, I’d suggest The Climate Machine by Andrew Blum.
You’ll find this video and all of Vox’s movies on YouTube.
This video is sponsored by Microsoft Copilot for Microsoft 365. Microsoft has no editorial affect on our movies, however their assist makes movies like these potential.
