DataWave at AGU 2023

Between Dec. 11th - Dec. 15th, twelve members of the DataWave group came together for the 2023 AGU conference in San Francisco.

Throughout the week, affiliates of our group presented new research and chaired different sessions. Below is a list of DataWave presenters and their respective research titiles. Please feel free to reach out to a presenter if you are interested in talking more about their work.

AGU DataWave Presentations:

"Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling," Session, Conveners: Laura Mansfield & Minah Yang.

"Extratropical Large-Scale Atmospheric Circulation Variability," Session, Conveners: Aman Gupta, Pedram Hassanzadeh, & Aditi Sheshadri.

"Influence of obstacle effect on convectively generated gravity wave drag in the lowermost stratosphere," Talk, Martina Bramberger.

"Can AI-based climate models learn rare, extreme weather events?," Talk, Pedram Hassanzadeh.

"Explainable Offline-Online Training of Neural Networks for Parameterization: A 1D Gravity Wave-QBO Testbed," Talk, Hamid Pahlavan.

"Balloon Borne Observation of Tropical Gravity Waves: Phase Speed and Vector Momentum Flux," Talk, Milena Corcos.

"Understanding instabilities of neural weather models: Towards seamless weather to climate prediction," Talk, Ashesh Chattopadhyay.

"A framework for stability and convergence analysis of deep neural solvers for multi-scale nonlinear PDEs," Talk, Pedram Hassanzadeh.

"Extracting Gravity Waves from a Multi-year Global High Resolution Simulation using Spectral Filters," Poster, Minah Yang.

"Inertia-Gravity Wave Energy Spectra and Propagation Directions Estimated from Loon Balloon Data," Poster, Brian Green.

"Uncertainty Quantification of a Machine Learning Gravity Wave Parameterization," Poster, Laura Mansfield.

"Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges," Poster, Karan Jakhar.

"Utilizing Bayesian History Matching for the calibration of a gravity wave parameterization," Poster, Robert King.

"Non-local Machine Learning-based Gravity Wave Parameterization Trained on a Kilometer-scale Global Climate Model," Poster, Aman Gupta.

"Using Loon to systematically observe horizontal gravity wave properties," Poster, Isabella Dula.

"Revisiting Stratospheric Eddy Diffusivity Using New Observational Capabilities," Poster, Catherine Wilka.

"Importance of Internal Gravity Waves to Global Stratospheric Variability and Climatology as Revealed by ERA5," Poster, Aman Gupta.