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Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies
v1v2 (latest)

Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies

3 July 2025
Zilu Meng
Gregory J. Hakim
Wenchang Yang
Gabriel A. Vecchi
    AI4ClAI4CE
ArXiv (abs)PDFHTMLGithub (21★)

Papers citing "Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies"

3 / 3 papers shown
Title
Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
Ian Baxter
H. Pahlavan
Pedram Hassanzadeh
Katharine Rucker
Tiffany Shaw
32
0
0
06 Oct 2025
Numerical models outperform AI weather forecasts of record-breaking extremes
Numerical models outperform AI weather forecasts of record-breaking extremes
Zhongwei Zhang
Erich Fischer
Jakob Zscheischler
Sebastian Engelke
AI4ClELM
108
2
0
21 Aug 2025
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Zhanxiang Hua
Ryan Sobash
David John Gagne II
Yingkai Sha
Alexandra Anderson-Frey
214
0
0
16 May 2025
1