Research

The CERCat Consortium conducts research around a number of themes including: Extreme Weather and Hazard, Vulnerability, System Resilience, Regional Economy & Community, and Data Science.

2025 CERCat Projects:

• CERCat 25-01: Transforming current hail fragility curves into SCS multi-hazard fragility curves (PI: Grace Yan)

• CERCat 25-02: Empirical wildfire fragility curves for residential buildings, based on past event data (PI: Paolo Bocchini)

• CERCat 25-03: Linking regional climate variability to local TC hazard probabilities (PI: Avi Gori)

• CERCat 25-04: Multi-modal damage assessment in post-disaster scenarios with AI and remote sensing (PI: Maryam Rahnemoonfar)

• CERCat 25-05: Parametric fragility models of slender structures under hurricane wind loads (PI: Sushreyo Misra)

• CERCat 25-06: A nonstationary joint probability method for tropical cyclone hazard assessment (PI: James Doss-Gollin) 

The following are a few selected publications from the last year by the CERCat faculty related to our research themes and consortium's focus:

• Gori, A., Lin, N., Chavas, D., Oppenheimer, M., and Xian, S. (2025). “Sensitivity of tropical cyclone risk across the US to changes in storm climatology and socioeconomic growth”, Environmental Research Letters READ ARTICLE HERE

• Wang, H., Bocchini, P., Padgett, J. (2023). “Estimation of Wind Pressure Field on Low-Rise Buildings Based on a Novel Conditional Neural Network.” Journal of Wind Engineering and Industrial Aerodynamics, Vol. 250, 105752 1-13. July, 2024.  READ ARTICLE HERE

• Khazaali, M., Ma, L., Rokneddin, K., Mazzotti, M., Bocchini, P. (2024) . "A robust protocol to compute wind load cofficients of telecommunication towers and antennas using numerical simulation for risk and resilience assessment." Resilient Cities and Structures, Elsevier, Vol. 3, Issue 1, p. 66-83, 2024. READ ARTICLE HERE

• Taysi, H. and Yang, Y. C. E., Gangrade, S., Chegini, T. Kao, S. C. and Li, H. Y. 2025. "Enhancing 2D Hydrodynamic Flood Models through Machine Learning and Urban Drainage Integration." Journal of Hydrology READ THE ARTICLE HERE

• Sun Q., Kushner, H. and Yang, Y. C. E., 2024. "Identifying barriers to decentralized stormwater infrastructure implementation at different levels of urban flood governance – A case study in Eastern Pennsylvania, US.", Environmental Science and Policy, 154, 103686. READ ARTICLE HERE

• Kazadi, A., Doss-Gollin, J., & Silva, A. (2024). "Pluvial flood emulation with hydraulics-informed message passing." In Forty-First International Conference on Machine Learning. Retrieved from READ ARTICLE HERE

• Liu, Y., Doss-Gollin, J., Balakrishnan, G., & Veeraraghavan, A. (2024). "Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization" (Version 1). arXiv. READ ARTICLE HERE

• Lu, Y., Lee, B. S., & Doss-Gollin, J. (2025, February 4). "Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast." arXiv. READ ARTICLE HERE

• Casagrande, D. and Lampman, A. 2025 "Ecomyopia on the Chesapeake: social and cultural barriers to climate-induced managed retreat." Frontiers Vol. 7, READ ARTICLE HERE

• Patil, J., Chi-Ying L., Eun Jeong, C., and Dueñas-Osorio, L. 2025. “Approximate Modeling of Integrated Electric Power System for Building-Level Power Availability Analysis.” TechRxiv, DOI: 10.36227/techrxiv.174235538.86356644/v1. READ ARTICLE HERE

• Enderami, S., Amin, Sutley, E., Helgeson, J., Dueñas-Osorio, L., Watson, M., and W. van de Lindt, J. 2024. “Measuring Post-Disaster Accessibility to Essential Goods and Services: Proximity, Availability, Adequacy, and Acceptability Dimensions.” Journal of Infrastructure Preservation and Resilience 5 (1): 12. READ ARTICLE HERE

• Talebiyan, H., and Duenas-Osorio, L. 2024. “Interdependent Network Restoration Games with Incomplete Information and Bounded Rationality.” Risk Analysis 44 (9): 2286–2311. READ ARTICLE HERE

• Y. Koo P , M. Rahnemoonfar, "Hierarchical Information-Sharing Convolutional Neural Net work for the Prediction of Arctic Sea Ice Concentration and Velocity,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024, Impact Factor: 8.1 READ ARTICLE HERE

• Felzer, B.S. 2024. "Modeling the future carbon sink: Land-use and climate change may offset CO2 fertilization in the United States."  Plants People Planet. READ ARTICLE HERE

• K. Zhang, R. Zhou, E. Adhikarla, Z. Yan, Y. Liu, J. Yu, Z. Liu, X. Chen, B.D. Davison, H. Ren, J. Huang, C. Chen, Y. Zhou, S. Fu, W. Liu, T. Liu, X. Li, Y. Chen, L. He, J. Zou, Q. Li, H. Liu, and L. Sun . "A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks", Nature Medicine, 30: 3129-3141. Nature Portfolio, August 2024. READ ARTICLE HERE

• Deodatis, G. and Ghanem, R. 2025. "Perspective: Protecting Humanity from Weather-Related Hazards in a Changing Climate." Journal of Engineering Mechanics READ ARTICLE HERE

• Mitsova, D., Cresswell, K., Bergh, C., Matos, M., Wakefield, S., Freeman, K., & Lima, W. C. (2025). "A Shoreline Screening Framework for Identifying Nature-Based Stabilization Measures Reducing Storm Damage in the Florida Keys." Journal of Marine Science and Engineering, 13(3), 543. READ ARTICLE HERE

• Mitsova, D., Esnard, A-M, Escaleras, M., Sapat, A., and Besser, L. (2025). "Disparate Household Recovery Outcomes in Rural Communities: A Longitudinal Analysis of Hurricane Michael's Impact on the Florida Panhandle." Natural Hazards  READ ARTICLE HERE

• Mitsova, D.; Li, Y.; Einsteder, R.; Roberts Briggs, T.; Sapat, A.; Esnard, A.-M. (2024). "Using Nighttime Light Data to Explore the Extent of Power Outages in the Florida Panhandle after 2018 Hurricane Michael." Remote Sensing, 16 (14), 2588 READ ARTICLE HERE

• Hauptman, L., Mitsova, D., and Roberts Briggs, T. (2024). "Hurricane Ian Damage Assessment Using Aerial Imagery and LiDAR: A Case Study of Estero Island, Florida", Journal of Marine Science and Engineering, 12(4): 668 READ ARTICLE HERE

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