Míreanna comhchosúla

• Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
  de réir: Yousefnia, Kianusch Vahid, et al.
  Foilsithe / Cruthaithe: (2024)
• Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks
  de réir: Metzl, Christoph, et al.
  Foilsithe / Cruthaithe: (2025)
• A machine-learning approach to thunderstorm forecasting through post-processing of simulation data
  de réir: Yousefnia, Kianusch Vahid, et al.
  Foilsithe / Cruthaithe: (2023)
• A minimal model of the deep-convection lifecycle and its verification in remote-sensing observations
  de réir: Bölle, Tobias, et al.
  Foilsithe / Cruthaithe: (2024)
• Developing a Sequential Deep Learning Pipeline to Model Alaskan Permafrost Thaw Under Climate Change
  de réir: Rahaman, Addina
  Foilsithe / Cruthaithe: (2025)