Stephan Rasp
@raspstephan.bsky.social
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🚨 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/
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GitHub - google-research/weatherbenchX: A modular framework for evaluating weather forecasts
A modular framework for evaluating weather forecasts - google-research/weatherbenchX
https://github.com/google-research/weatherbenchX
8 months ago
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Stephan Rasp
Randy Chase
9 months ago
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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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...
9 months ago
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Stephan Hoyer
10 months ago
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
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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...
https://arxiv.org/abs/2412.11973
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Tom Andersson 🌍
11 months ago
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11 months ago
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