Consortium for Enhancing Resilience and Catastrophe modeling (Cercat)

Project CERCat 25-A01:

Transforming Current Hail Fragility Curves into SCS Multi-Hazard Fragility Curves

Goal: Improve the fragility analysis of buildings induced by hail in a severe convective storm (SCS) by considering the interaction between hail and wind during the SCS.

Project CERCat 26-A02:

Explainable HyperNetworks for Wildfire: Spread Modeling and Fragility Estimation

Goal: Develop a general HyperNetwork framework that generates the parameters of intrinsically interpretable models and apply it to two high-impact wildfire problems: spread modeling and building-level fragility estimation. 

Project CERCat 25-A03:

   Linking Regional Climate Variability to Local TC Hazard Probabilities 

Goal: Develop a multi-scale framework to quantify the impact of regional climate variability on local-scale hurricane wind and rainfall probability distributions.

Project CERCat 25-A04:

Multi-Modal Damage Assessment in Post-Disaster Scenarios with AI and Remote Sensing

Goal: Develop multi-modal damage assessment machine learning models for post disaster data analytics.

Project CERCat 26-A05:

Draining the Uncertainty: How Urban Drainage Representation Shifts Flood Hazard Simulation

Goal: Quantify how urban drainage network (UDN) representation shifts simulated flood depth, timing, and extend across a benchmarked spectrum of integration strategies, giving carriers a physics-based hazard model they can validate and a defensible basis for choosing one.

Project CERCat 26-A06:

   Attributing Wind- vs. Water-Driven Damage in Tropical Cyclone Multi-Hazard Fragility

Goal: Estimate structural fragility under tropical cyclone multi-hazards and attribute the dominant driver of damage -- wind or water -- via amortized Bayesian inference.