Ph.D., Earth and Atmospheric Sciences, Mississippi State University
M.A., Geography, East Carolina University
B.S., Atmospheric Sciences, University of North Carolina at Asheville
Dr. Christopher M. Zarzar's research agenda evolved from the linkages between meteorology, remote sensing, numerical modeling, and GIS techniques in an applied approach to hydrometeorology, land-atmosphere interactions, and natural hazard risk communication. His current research explores human-land-atmosphere interactions with a focus on how anthropogenic modification to land cover conditions impacts the atmospheric boundary layer and precipitation. This work uses a combination of unmanned aerial systems (i.e., drones), field work, and numerical modeling techniques to understand the scale and magnitude at which human activity affects local environmental conditions. He is also interested in the quantification and communication of uncertainty. This work has included the development of a forecast uncertainty 3-dimensional visualization suite and the development of a flood-risk web-mapping tool.
- Zarzar, C.M., P. Dash, J.L. Dyer, R. Moorhead, L. Hathcock, 2020: Development of a Simplified Radiometric Calibration Framework for Water-Based and Rapid Deployment Unmanned Aerial System (UAS) Operations. Drones 4 (2), 17. https://doi.org/10.3390/drones4020017
- Zarzar, C. and J. Dyer, 2019: The Influence of Synoptic-Scale Air Mass Conditions on Seasonal Precipitation Patterns over North Carolina. Atmosphere 10 (10), 624. https://doi.org/10.3390/atmos10100624
- Zarzar, C., P. Dash, J. Dyer, A. Mercer, and R. Moorhead, 2018: Application of Current Land Surface Classification Methods with Unmanned Aerial System (UAS) Imagery. (In Preparation).
- Zarzar, C., H. Hosseiny, R. Siddique, M. Gomez, V. Smith, A. Mejia, and J. Dyer, 2018: A hydraulic multi-model ensemble framework for visualizing flood inundation uncertainty. Journal of the American Water Resources Association (JAWRA), 1–13. https://doi.org/10.1111/1752-1688.12656
- Dyer, J., P. Amburn, R. Dumais, J. Raby, J. Smith, and C. Zarzar, 2016: Defining the influence of horizontal grid spacing on ensemble uncertainty within a regional modeling framework. Wea. Forecasting, 31, 1997–2017. http://dx.doi.org/10.1175/WAF-D-16-0030.1
- Rickenbach, T. M., R. Nieto-Ferreira, C. Zarzar, and B. Nelson, 2015: A seasonal and diurnal climatology of precipitation organization in the southeastern United States. Q.J.R. Meteorol. Soc., 141, 1938–1956. http://dx.doi.org/10.1002/qj.2500