EGU25-2013, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2013
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 01 May, 09:25–09:35 (CEST)
 
Room 0.49/50
Addressing the US Tropical Cyclone-Storm Surge risk using RAFT-DeepSurge, an advanced AI-based approach 
Karthik Balaguru, Julian Rice, David Judi, Ning Sun, and Brent Daniel
Karthik Balaguru et al.
  • Pacific Northwest National Laboratory, Richland, United States of America (karthik.balaguru@pnnl.gov)

How to cite: Balaguru, K., Rice, J., Judi, D., Sun, N., and Daniel, B.: Addressing the US Tropical Cyclone-Storm Surge risk using RAFT-DeepSurge, an advanced AI-based approach , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2013, https://doi.org/10.5194/egusphere-egu25-2013, 2025.

This abstract has been withdrawn on 03 Apr 2025.