From manual construction to AI-driven scenario emergence: TAISE framework repurposes AI weather models to generate coherent extreme weather sequences at lower cost
Read the original at arxiv.org→arXiv:2609.16493v1 Announce Type: new Abstract: Traditional catastrophe (CAT) risk models rely on costly manual construction to generate extreme weather scenarios, an approach largely unchanged since the 1990s. As...
Original headline: "From Manual Construction to AI-Driven Scenario Emergence: Rethinking Catastrophe Risk Modeling"
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- Sep 16, 04:00 UTC arXiv cs.AI lead source From Manual Construction to AI-Driven Scenario Emergence: Rethinking Catastrophe Risk Modeling