Research

My research focuses at the confluence of climate science, geographic information systems, and machine learning. Specifically, I am interested in how I can leverage so-called “big data” to answer pertinent research questions related to thunderstorms and climate change, and how this interplay may influence the spatiotemporal dimensions of affiliated impacts to humans and the environment. My work benefits from the maturation of remotely-sensed precipitation datasets, recent advances in image processing and classification technologies, and improvements in regional weather modeling, supported, in part, by increases in computational processing capacity and storage.

Publications

. Identifying Mesoscale Convective Systems in Radar Mosaics. Part 2: Tracking and Application. J. Appl. Climatol. Meteor. (In Review), 2017.

. Identifying Mesoscale Convective Systems in Radar Mosaics. Part I: Segmentation and Classification. J. Appl. Climatol. Meteor. (In Review), 2017.

. The effect of reservoirs on the climatology of warm-season thunderstorms in Southeast Texas, USA. Int. J. Climatol., 2015.

. Driving Blind: Weather-related vision hazards and fatal motor vehicle crashes. Bull. Amer. Meteor. Soc., 2015.

. The effect of urbanisation on the climatology of thunderstorm initiation. Q. J. Roy. Meteor. Soc., 2015.

. Climatology of Tropical System Rainfall in the Eastern Corn Belt. J. Appl. Meteor. Climatol., 2014.

Teaching

As a graduate teaching assistant, and later an instructor, I had the exciting opportunity to engage students in the study of a wide range of topics in physical geography and the atmospheric sciences. In particular, my early graduate career teaching responsibilities included relatively small (10 – 20 students) laboratory courses with students from varied educational backgrounds and majors (GEOG 102 – Introduction to Physical Geography Laboratory), as well as laboratories, practicums, and evaluation associated with upper-level, required, courses for meteorology majors (MET 300 – Physical Meteorology; MET 320 – Synoptic Meteorology; MET 421 –Advanced Synoptic Meteorology; MET 444 – Mesoscale Meteorology). Later in my graduate career, I was the instructor of record for a larger (40 – 50 students) general education course that introduced students to the atmospheric sciences (GEOG 105 – Introduction to the Atmosphere). Additionally, I led a weather forecasting practicum course for approximately 15 junior- and senior-level meteorology students (MET 475 – Practicum in Weather Analysis and Forecasting).

Instructor:

Selected laboratory experiments to accompany GEOG 101. Two hours of laboratory.
Introduction to elements of weather and climate with emphasis on the interrelationships between heat, pressure, and moisture including the global radiation balance. Introduction to climate classification, and atmospheric processes that control global climates and climatic change. Three hours of lecture.
Application of meteorological observations, numerical weather prediction models, and synoptic and mesoscale analysis and forecasting techniques to produce site-specific weather forecasts. Involves one hour of lecture.

Graduate Teaching Assistant:

Study of the physical and dynamic processes involved in atmospheric science. Radiation and energy budgets, thermodynamics, stability, water vapor and clouds, pressure, winds, and circulation theorems. Three hours of lecture and two hours of laboratory.
Introduction to meteorological codes, analysis, forecasting techniques, and the theory of synoptic-scale weather systems. Basic principles of atmospheric thermodynamics, kinematics, and numerical weather prediction. Two hours of lecture and two hours of laboratory.
Applications of synoptic analysis, forecast techniques, and fluid dynamics to the diagnosis and forecasting of mid-latitude weather systems. Examination of the lifecycle of mid-latitude cyclones using quasi-geostrophic theory. Two hours of lecture and two hours of laboratory.
Structure, evolution, forcing, and prediction of weather phenomena with short temporal and spatial scales. Observing systems and numerical weather predictions applied to mesoscale phenomena such as severe thunderstorms, tornadoes, and heavy snow. Two hours of lecture and two hours of laboratory.

Contact