Dr. Corene Matyas
Dr. Corene Matyas
Phone: (352) 294-7508
Areas of Specialization
- Tropical Climatology
- Severe Weather
- Remote Sensing of Rainfall
- Natural Hazards
- PhD in Geography, Pennsylvania State University, 2005
- M.A. in Geography, Arizona State University, 2001
- B.S. in Environmental Geoscience, Clarion University of PA, 1999
- University of Florida Term Professorship 2016 – 2019
- Colonel Allan R. and Margaret G. Crow Term Professor, 2014-2015
- National Science Foundation CAREER Award 2011-2016
- CLAS Teacher of the Year 2008-2009
Recent Courses (On sabbatical and not teaching Fall 2018 and Spring 2019)
- GEO3250/6255 Climatology
- GEO4938/6938 Seminar in Atmospheric Science
- MET3503/5504 Weather and Forecasting
- MET4532/6530 Hurricanes
- MET4750/6752 Atmospheric Data Analysis
- MET4560/6565 Atmospheric Teleconnections
Current Graduate Students
Recently Graduated Students
- Qiao (Doris) Guo
- Sanghoon Kim
In My Own Words
At the age of 4, I realized that one cannot hide from severe weather events. Consequently, I vowed to learn everything that I could about hurricanes, tornadoes, floods, and other natural disasters because I wanted to be prepared when severe weather struck. Throughout my education as a scientist, I have maintained in interest in art, and the combination of these two pursuits led me to my thesis work where I examined the shapes of “rainprints” produced when convective thunderstorms moved through the region around Phoenix, Arizona during the monsoon season. For my dissertation work, I investigated how best to quantify the shapes of tropical cyclone rain shields. Many physical mechanisms affect rain production in these storms, such as topography, interaction with middle latitude weather systems, and atmospheric moisture. My doctoral research laid the groundwork for attributing changes in the rain shield shapes to these physical mechanisms, as well as explored a new set of methods for examining tropical cyclone rainfall patterns by using a GIS to spatially analyze base reflectivity data for these storms. With funding from a National Science Foundation CAREER Award, I seek to quantify how tropical cyclone rain shield shapes change over the life span of the storm, with a particular emphasis on the effects of landfall.
My primary research involves the GIS-based analysis of rainfall from tropical cyclones. I am interested in other severe weather events as well. I am also currently pursuing research on social and behavioral responses to natural hazards. I seek to mentor students who would like to examine severe weather events, atmospheric teleconnections, or rainfall, and who have GIS and/or remote sensing skills. I look forward to serving on committees for students working in fields related to natural hazards, utilizing weather and climate-related data such as wind, rainfall, temperature trends, etc., examining atmospheric teleconnections and their influence on weather and climate, and human/environment interactions.
Tang, J. and Matyas, C.J. 2018. A spatio-temporal nowcasting model for tropical cyclones using semi-lagrangian scheme, Atmosphere, 9, 1-18. DOI:10.3390/atmos9050200.
Zhou, Y. and Matyas, C. J. 2018. Spatial characteristics of rain fields associated with tropical cyclones landfalling over the western Gulf of Mexico and Caribbean Sea, Journal of Applied Meteorology and Climatology, Accepted May 14.
Matyas, C. J., Zick. S. E. and Tang, J. 2018. Using an object-based approach to quantify the spatial structure of reflectivity regions in Hurricane Isabel (2003): Part I: Comparisons between radar observations and model simulations. Monthly Weather Review, 146, 1319-1340. DOI: 10.1175/MWR-D-17-0077.1
Tang, J. and Matyas, C.J. 2018. Arc4nix: A cross-platform geospatial analytical library for cluster and cloud computing. Computers & Geosciences, 111, 159-166. DOI:10.1016/j.cageo.2017.11.011
Hernandez Ayala, J.J. and Matyas, C.J. 2018. Spatial distribution of tropical cyclone rainfall and its contribution to the climatology of Puerto Rico. Physical Geography, 39, 1-20. DOI: 10.1080/02723646.2017.1354416
Matyas, C. J., 2017: Comparing the spatial patterns of rainfall and atmospheric moisture among tropical cyclones having a track similar to Hurricane Irene (2011). Atmosphere, 8, 165-185. DOI:10.3390/atmos8090165.
Hernández Ayala, J.J., Keellings D., Waylen, P. and Matyas, C. 2017. Extreme floods and their relationship with tropical cyclones in Puerto Rico, Hydrological Sciences Journal, 62:13, 2103-2119. DOI:10.1080/02626667.2017.1368521.
Zhou, Y. and Matyas, C. J. 2017. Spatial characteristics of storm-total rainfall swaths associated with tropical cyclones over the eastern United States. International Journal of Climatology, 37, S1, 557-569. DOI:10.1002/joc.5021.
Zick, S.E. and Matyas, C.J. 2016. A shape metric methodology for studying the evolving geometries of synoptic-scale precipitation patterns in tropical cyclones. Annals of the Association of American Geographers, 106, 1217-1235. DOI: 10.1080/24694452.2016.1206460.
Tang, J. and Matyas, C. J. 2016. Fast playback framework for analysis of ground-based Doppler radar observations using Map-Reduce technology. Journal of Atmospheric and Oceanic Technology, 33, 621-634. DOI:10.1175/JTECH-D-15-0118.1
Guo, Q. and Matyas, C. J. 2016. Comparing the spatial extent of Atlantic basin tropical cyclone wind and rain fields prior to land interaction. Physical Geography, 37, 5-25. DOI: 10.1080/02723646.2016.1142929
Hernandez-Ayala, J. J. and Matyas, C. J. 2016. Tropical cyclone rainfall over Puerto Rico and its relations to environmental and storm specific factors. International Journal of Climatology, 36, 2223-2237. DOI: 10.1002/joc4490
Cahyanto, I., Pennington-Gray, L., Thapa, B., Srinivasan, S., Villegas, J., Matyas, C., Kiousis, S. 2016. Predicting information seeking regarding hurricane evacuation in the destination. Tourism Management, 52, 264-275. DOI: 10.1016/j.tourman.2015.06.014
Zick, S.E and Matyas, C. J. 2015. Tropical cyclones in the North American Regional Reanalysis: The impact of satellite derived precipitation over-ocean. Journal of Geophysical Research- Atmospheres, 120, 8724-8742. DOI: 10.1002/2015JD023722
Zick, S.E and Matyas, C. J. 2015. An assessment of tropical cyclone location, intensity, and structure in the North American Regional Reanalysis. Journal of Geophysical Research- Atmospheres, 120, 1651-1669. DOI: 10.1002/2014JD022417
Silva, J. A., Matyas, C.J., Cunguara, B. 2015. Regional inequality and polarization in the context of concurrent weather and economic shocks: The case of Mozambique. Applied Geography, 61 105-116. DOI:10.1016/j.apgeog.2015.01.015
Matyas, C. J. 2015. Tropical cyclone formation and motion in the Mozambique Channel, International Journal of Climatology, 35, 375-390. DOI: 10.1002/joc.3985
Ahmed, S., Stepp, J. R., Orians, C., Griffin, T., Matyas, C., Robbat, A., Cash, S., Dayuan, X., Long, C., Unachukwu, U., Buckley, S., Small, D., and Kennelly, E. 2014. Effects of extreme climate events on tea (Camellia sinensis) functional quality validate indigenous farmer knowledge and sensory preferences in tropical China, PLoS ONE, 9 (10), e109126. DOI: 10.1371/journal.pone.0109126
Matyas, C. J. 2014. Conditions associated with large rain-field areas for tropical cyclones landfalling over Florida, Physical Geography 32:2, 93-106. DOI: 10.1080/02723646.2014.893476
Dzotsi, K.A., Matyas, C.J., Jones, J.W., Baigorria, G., Hoogenboom,G. 2014. Spatial and temporal variability of rainfall in southwest Georgia, International Journal of Climatology, 34, 3161-3320. DOI: 10.1002/joc.3904
Silva, J. A., Matyas, C.J. 2014. Relating rainfall patterns to agricultural income: Implications for rural development in Mozambique, Weather, Climate and Society, 6:2, 218-237. DOI:10.1175/WCAS-D-13-00012.1
Cahyanto, I., Pennington-Gray, L., Thapa, B., Srinivasan, S., Villegas, J., Matyas, C., Kiousis, S. 2014. An empirical evaluation of the determinants of tourists hurricane evacuation decision making, Journal of Destination Marketing & Management, 2, 253-265. DOI: 10.1016/j.jdmm.2013.10.003
Matyas, C. J. 2013. Processes influencing rain field growth and decay after tropical cyclone landfall in the U.S., Journal of Applied Meteorology and Climatology, 52, 1085-1096, DOI: 10.1175/JAMC-D-12-0153.1
Villegas, J., Matyas, C.J., Srinivasan, S., *Cahyunto, I., Thapa, B., Pennington-Gray, L. 2013. Cognitive and affective responses of Florida tourists after exposure to hurricane warning messages. Natural Hazards, 66, 97-119, DOI: 10.1007/s11069-012-0119-3
Matyas, C.J., Silva, J.A. 2013. Extreme weather and economic well-being in rural Mozambique. Natural Hazards, 66, 31-49, DOI: 10.1007/s11069-011-0064-6
Ash, K.D., Matyas, C.J. 2012. The influences of ENSO and the Subtropical Indian Ocean Dipole on tropical cyclone trajectories in the South Indian Ocean. International Journal of Climatology, 32:1, 41-56, DOI: 10.1002/joc.2249
Matyas, C.J., Srinivasan, S., *Cahyunto, I., Thapa, B., Pennington-Gray, L, Villegas, J. 2011. Risk perception and evacuation decisions of Florida tourists under hurricane threats: A stated preference analysis, Natural Hazards, 59:2, 871-890. DOI: 10.1007/s11069-011-9801-0
Thompson, B.K, Escobedo, F.J., Staudhammer, C.L., Matyas, C.J., Qiu, Y. 2011. A model of hurricane-caused tree debris in Houston, Texas. Landscape and Urban Planning, 101:3, 286-297. DOI:10.1016/j.landurbplan.2011.02.034
Matyas, C.J. 2010. Locating convection in landfalling tropical cyclones: A GIS-based analysis of radar reflectivities and comparison to lightning-based observations. Physical Geography, 31:5, 385-406. DOI:10.2747/0272-36126.96.36.1995
Matyas, C. J. 2010. Use of ground-based radar for climate-scale studies of weather and rainfall, Geography Compass, 4:9, 1218-1237
Becker, S., Buker, M.L., Matyas, C.J., Rohli, R.V. 2010. Assessing links between upper atmospheric vorticity patterns and directional changes in hurricane tracks. Theoretical and Applied Climatology, 102, 379-392. DOI: 10.1007/s00704-010-0269-8
Matyas, C.J. 2010. Associations between the size of hurricane rain fields at landfall and their surrounding environments. Meteorology and Atmospheric Physics, 106, 135-148. DOI 10.1007/s00703-009-0056-1
Matyas, C.J. 2010. A geospatial analysis of convective rainfall regions within tropical cyclones after landfall. International Journal of Applied Geospatial Research, 1:2, 71-91. DOI: 10.4018/jagr.2010020905
Matyas, C.J. and A.M. Carleton 2010. Surface radar-derived convective rainfall associations with Midwest U.S. land surface conditions in summers 1999 and 2000, Theoretical and Applied Climatology, 93:3, 315-330. DOI: 10.1007/s00704-009-0144-7
Current Research Funding
- CAREER: Geospatial Modeling of Tropical Cyclones to Improve the Understanding of Rainfall Patterns and Enrich the Analytical Skills of Students. National Science Foundation, BCS-1053864 $470,000 (2011 – 2017), Role: Principal Investigator
- CNH: Climate Effects on Tea Quality and Socioeconomic Responses. National Science Foundation, BCS- 1313775 $931,000 (2013 – 2018), Role: Senior Personnel; PI: Colin Orians Tufts University Dept. of Biology
- MRI: Development of a Versatile, Self-Configuring Turbulent Flow Condition System for a Shared-Use Hybrid Low-Speed Wind Tunnel. National Science Foundation CMMI- 1428954 $ 921,370 (2014 – 2017), Role: Co-PI; PI: Forrest Masters, University of Florida Dept. of Civil and Coastal Engineering
- Collaborative Research: GP-EXTRA: Geoscience Engagement and Outreach (GEO) – High-Impact Integrated Academic and Professional Experiences. National Science Foundation ICER- 1540729 $489,670 (2015-2018), Role: Co-Pi; PI: Heidi Lannon, Santa Fe College Dept. of Geography
- Geometric Analysis of Moisture Budgets and Precipitation Structures in U.S. Landfalling Tropical Cyclones. Society of Women Geographers Pruitt Fellowship (Stephanie Zick), $8,479 (2015-2017), Role: PI.
- Revising Radx Software for High-Performance Real-time Doppler Weather Radar Gridding and Warning Decision Support during Hurricane Events. Intel Code Modernization Fellowship (Jingyin Tang and Kyuseo Park), $25,000 (2016 – 2017), Role: Faculty Advisor
- Novel Analysis and Database Management Strategies to Track Hurricane Rainfall Regions Detected by Ground-Based Weather Radars. University of Florida Research Opportunity Fund $75,038 (2016 – 2018), Role: PI