Stephan Rasp
@raspstephan.bsky.social
🚨 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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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 - google-research/weatherbenchX: A modular framework for evaluating weather forecasts
A modular framework for evaluating weather forecasts - google-research/weatherbenchX
github.com
February 13, 2025 at 7:38 AM
🚨 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
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
Reposted by Stephan Rasp
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 📈
December 31, 2024 at 5:15 PM
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 📈
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...
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...
December 23, 2024 at 4:46 PM
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...
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...
Reposted by Stephan Rasp
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
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
December 19, 2024 at 8:34 PM
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
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
Reposted by Stephan Rasp
