Climate-based emulation
Stochastic and weather-type frameworks for long-term, multivariate coastal climate simulation.
Research
My work develops hybrid downscaling, climate emulators and open tools that connect large-scale climate drivers with local coastal impacts.
Stochastic and weather-type frameworks for long-term, multivariate coastal climate simulation.
Fast surrogate models that retain the physical insight of numerical models at a fraction of their cost.
Operational systems for waves, flooding, shoreline change and tropical-cyclone hazards.
Selected work
Meredith Leung, Peter Ruggiero, Laura Cagigal, Dylan Anderson & Fernando Méndez.
Read article ↗Mao, Vos, Cagigal et al. A regional resource linking shoreline evolution with its nearshore wave forcing.
Article ↗O’Reilly, Merrifield, Cagigal et al. Connecting wave variability with observed coastal change.
Article ↗An efficient hybrid approach that accounts for changing nearshore bathymetry.
Article ↗A global synthesis of progress and priorities for coastal-ocean climate projections.
Article ↗A highly efficient framework for translating offshore directional spectra to nearshore conditions.
Article ↗A multivariate emulator designed for complex, multimodal Pacific wave climates.
Article ↗Research portfolio
Monitoring, early-warning systems and capacity building for WMO Region V and the Pacific Islands Regional Climate Assessment.
Towards a digital twin for physical and socio-economic analysis of coastal systems.
A framework for interdependent resilience under sea-level rise, supported by the U.S. Office of Naval Research.
Seasonal outlook and short-term impact forecasting systems for tropical cyclones and coastal hazards.
Laura’s full record includes 34 peer-reviewed Q1 articles and participation in 17 national and international projects.
Complete record on ORCID ↗