This topic will be split into two parts for your listening convenience in order to keep each episode less than two minutes long. Both episodes covering Google and GraphCast will be published at the same time. 
GraphCast can also provide earlier warnings for extreme weather events. 
Back in September, GraphCast “accurately predicted that Hurricane Lee would make landfall in Nova Scotia nine days in advance”, said Lam. “Traditional weather forecasting models pinpointed the hurricane to Nova Scotia only six days in advance.”
The model can also characterize atmospheric rivers, predict extreme temperatures, and can anticipate heat waves, which are becoming more and more common. 
Google DeepMind has open sourced the model code for GraphCast which can currently be found on GitHub. According to their recent release, “GraphCast is already being used by weather agencies, including ECMWF, which is running a live experiment of our model’s forecasts on its website.”. 
With this, Google DeepMind hopes to improve and evolve their model. Not only could this benefit billions of people in their day-to-day lives, DeepMind claims, but it could also help us understand the broader patterns of our climate and help the global community tackle environmental challenges. 
“Weather prediction is one of the most challenging problems that humanity has been working on for a long, long time. And if you look at what has happened in the last few years with climate change, this is an incredibly important problem,” says Pushmeet Kohli, the vice president of research at Google DeepMind.