Christopher Horvat

Christopher Horvat is an Assistant Professor in the Department of Earth, Environmental & Planetary Sciences at Brown University. He leads the Antipodal Oceanography Group, focusing on rapid climate change in polar and tropical regions. His research integrates applied mathematics, physical oceanography, and remote sensing to study sea ice dynamics, ocean turbulence, and climate modeling. Key areas include sea ice fracture mechanics, wave-ice interactions, and machine learning applications in climate science.

Horvat's work leverages satellite data (e.g., ICESat-2) and computational models to address challenges in polar and tropical climate systems. His recent studies emphasize improving sea ice concentration estimates, analyzing extreme climate events, and understanding ecological responses to environmental shifts. His methodologies include novel parameterizations of ocean turbulence, floe size distribution models, and algorithm development for satellite data interpretation.

His research group collaborates on projects like the NASA ABoVE campaign and utilizes advanced tools such as WIFF1.0—a machine learning-based sea-ice fracture parameterization. While his publications highlight interdisciplinary approaches, his current efforts aim to bridge observational data with predictive climate models to inform Arctic and Antarctic resilience strategies.