Tom Andersson 🌍

@tom-andersson.bsky.social

Research Engineer at Google DeepMind; Building AI for weather & tropical cyclone forecasting; WMO Young Scientist of the Year 2022; he/him

Can incorporating AI improve precipitation in global weather and climate models? Yes! In the latest NeuralGCM paper, we show that training on satellite-based precipitation results in significant improvements over traditional atmospheric models: arxiv.org/abs/2412.11973

Neural general circulation models optimized to predict satellite-based precipitation observations

Climate models struggle to accurately simulate precipitation, particularly extremes and the diurnal cycle. Here, we present a hybrid model that is trained directly on satellite-based precipitation obs...

arxiv.org

Interested in AI weather/climate modeling at #AGU24? I'll be giving an overview talk on NeuralGCM at 11:30am Wed at the Google booth, and an talk on modeling precipitation with NeuralGCM at 4:25pm Wed in the session A34A.

So excited to share our Google DeepMind team's new Nature paper on GenCast, an ML-based probabilistic weather forecasting model: www.nature.com/articles/s41... It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵

Probabilistic weather forecasting with machine learning - Nature

GenCast, a probabilistic weather model using artificial intelligence for weather forecasting, has greater skill and speed than the top operational medium-range weather forecast in the world and provid...

nature.com

Quite happy with IceNet getting its 200th citation a little after its 3rd birthday ❄️🎂💻 IceNet began around the time when applying ML to Earth sciences was the stuff of hushed conversations in corridors. A few years later and its potential to revolutionise the field is indisputable. Lots more to do!

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