iiinova — where your digital self keeps evolving

Stephan Rasp @raspstephan.bsky.social · 13/02/2025

🚨 WeatherBench Update 1. WeatherBench-X, our new evaluation code, is now on GitHub: github.com/google-resea... 2. New models (plus other small updates) on the WeatherBench website: sites.research.google/weatherbench/ 1/n

github.com

GitHub - google-research/weatherbenchX: A modular framework for evaluating weather forecasts

A modular framework for evaluating weather forecasts - google-research/weatherbenchX

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Reposted by Stephan Rasp

Randy Chase @dopplerchase.bsky.social · 31/12/2024

2025 is here tomorrow, so let's reflect on 2024. Even without the final counts and the new AMS and AGU ML journals, 2024 has eclipsed 10% of all papers and had over 600 papers mentioning neural networks in their abstracts 📈

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Stephan Rasp @raspstephan.bsky.social · 23/12/2024

ECMWF with two new papers right before christmas. AIFS-CRPS: arxiv.org/abs/2412.158... GraphDOP (the first truly end2end global weather model): arxiv.org/abs/2412.15687 Here they are added to the SotA tracker: docs.google.com/spreadsheets...

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Reposted by Stephan Rasp

Stephan Hoyer @handle.invalid · 19/12/2024

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

arxiv.org

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...

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