2 citations · 3 across the 3 of their papers we have counts for
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Benchmarking Regional Thermodynamic Trends in an AI emulator, ACE2, and a hybrid model, NeuralGCM
Katharine Rucker, Ian Baxter, Pedram Hassanzadeh +2
AI models have emerged as potential complements to physics-based models, but their skill in capturing observed regional climate trends with important societal impacts has not been…
Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
Ian Baxter, Hamid Pahlavan, Pedram Hassanzadeh +2
Physics-based atmosphere-land models with prescribed sea surface temperature have notable successes but also biases in their ability to represent atmospheric variability compared t…
Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
Y. Qiang Sun, Pedram Hassanzadeh, Tiffany Shaw +1
Artificial intelligence (AI) models have transformed weather forecasting, but their skill for gray swan extremes is unclear. Here, we analyze GraphCast, AIFS, and FuXi forecasts of…
Characteristics of Gravity Waves in Opposing Phases of the QBO: A Reanalysis Perspective with ERA5
Hamid A. Pahlavan, John M. Wallace, Qiang Fu +1
ERA5 data for the period of 1979-2019 are used as a basis for investigating the properties of gravity waves as they disperse and propagate upward through the stratosphere during op…
Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime
Hamid A. Pahlavan, Pedram Hassanzadeh, M. Joan Alexander
There are different strategies for training neural networks (NNs) as subgrid-scale parameterizations. Here, we use a 1D model of the quasi-biennial oscillation (QBO) and gravity wa…
Revisiting the Quasi Biennial Oscillation as Seen in ERA5. Part I: Description and Momentum Budget
Hamid A. Pahlavan, Qiang Fu, John M. Wallace +1
The dynamics and momentum budget of the quasi-biennial oscillation (QBO) are examined in the ERA5 reanalysis and compared with those in ERA-I. Because of ERA5's higher spatial reso…