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Pedram Hassanzadeh
University of ChicagoMeeting roles in:
Human-centered operational benchmarking of AI weather models for subseasonal monsoon onset forecasts in India
Teaching AI weather models to forecast gray swan extreme events via rare-event sampling and active learning
Advances in Emulating Earth System Models I Poster
Benchmarking modes of circulation variability in AI climate emulators
Interpretable Latent Structure of an AI Emulator of Stochastic Sudden Stratospheric Warmings
Periodicity of Mars's Northern Annular Mode May Help Explain Global Dust Storm Intermittency
Benchmarking Thermodynamic Trends and Extremes in AI Climate Emulator 2 and NeuralGCM Hybrid AI model
Advances in Emulating Earth System Models II Oral
Confronting atmospheric circulation trends in AI models with physics-based models and observations
Democratizing Weather Prediction: A Blueprint for Operational AI-based Forecasting to Address Real World Challenges
Promises and Limitations of AI Weather Models: From Democratizing Forecasting to Forecasting Gray Swans
Operationalizing AI Weather Forecasts of Monsoon Onset for Farmers in India
The Potential of AI Models to Forecast Regional Gray Swan Extreme Events
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