arXiv (Cornell University)
Enhancing Near Real Time AI-NWP Hurricane Forecasts: Improving Explainability and Performance Through Physics-Based Models and Land Surface Feedback
February 2025 • Naveen Sudharsan, Manmeet Singh, Shamitaksha Talukdar, Shyama Mohanty, Harsh Kamath, Krishna K. Osuri, Hassan Dashtian, Michael H. Young, Zong‐Liang …
Hurricane track forecasting remains a significant challenge due to the complex interactions between the atmosphere, land, and ocean. Although AI-based numerical weather prediction models, such as Google Graphcast operation, have significantly improved hurricane track forecasts, they currently function as atmosphere-only models, omitting critical land and ocean interactions. To investigate the impact of land feedback, we conducted independent simulations using the physics-based Hurricane WRF experimental model to a…