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arXiv Machine Learning By Shunan Zheng, John J. Hasenbein

SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis

Read the original on arXiv Machine Learning →

SurgeGen is a two‑stage generative diffusion framework that synthesizes storm surge scenarios conditioned on continuous storm parameters. The first stage produces a coarse baseline surge estimate, which then conditions a diffusion model that refines the output to capture realistic spatial patterns and variability. The method can generate diverse, realistic surge scenarios both within and beyond the training distribution.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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