Liberal Arts and Sciences
Matyas Lab
Led by Corene Matyas · Geography
What we study
The lab studies tropical cyclone rainfall using GIS-based analysis. They examine how rain shield shapes change during storms and how landfall affects rainfall patterns.
What working here is like
- Computational
- No organisms (data only)
- Coding helps
- Projects
- 2
- Papers
- 5
Current projects
Collaborative Research: An Object-Oriented Approach to Assess the Rainfall Evolution of Tropical Cyclones in Varying Moisture Environments
This project uses GIS to analyze tropical cyclone rainfall patterns and their evolution in different moisture conditions.
Assessing the Impact of Geo-Targeted Warning Messages on Residents Evacuation Decisions before a Hurricane
This study examines how targeted warning messages influence evacuation decisions during hurricanes.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Review of Literature on Intercomparison Studies Between GPM DPR and Ground-Based Radars
2026 · Atmosphere
Reviews studies comparing satellite and ground radar for rain data.
- Comparing Reflectivity from Space-Based and Ground-Based Radars During Detection of Rainbands in Two Tropical Cyclones
2025 · Atmosphere
Compares reflectivity from space-based and ground-based radars to detect rainbands in tropical cyclones.
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- Four moisture patterns surrounding Atlantic hurricanes revealed by deep learning: Their characteristics and relationship with hurricane intensity and precipitation
2025 · Atmospheric Research
- Variations in Tropical Cyclone Size and Rainfall Patterns Based on Synoptic‐Scale Moisture Environments in the North Atlantic
2025 · Journal of Geophysical Research Atmospheres
Analyzes how tropical cyclone size and rainfall patterns vary based on moisture environments in the North Atlantic.
- Identification of tropical cyclone–related flash floods from hazard narratives using a large language model–based approach
2025 · npj natural hazards.
Uses a large language model to identify tropical cyclone-related flash floods from hazard narratives.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Corene Matyas hasn't set up this page yet. Their UF Scholars profile lists their publications.