William J Capehart (1997)

Education

B.S., University of North Carolina at Asheville
M.S., Ph.D., Pennsylvania State University Main Campus

Contact/Location

William.Capehart@sdsmt.edu
(605) 394-1994
MI 201 (campus map)
Research Expertise

 

My research interests are the remote sensing and modeling of surface features and land-surface processes with emphasis on applications in operational meteorology, risk and hazard assessment, numerical weather and regional climate prediction, and land-surface hydrology.  In particular, I’m interested in developing tools to examine the role of land cover, vegetation and subsurface processes on the hydrologic cycle and the influence in climate change and extreme weather events on natural and designed surface systems.  

Much of my work in this area involves modeling of hydrologic processes in the soil, on the land surface (runoff and stream flow) and below the surface, as well as the impact of the transfers of moisture and heat between surface and atmosphere (and the subsequent feedbacks at the weather and climate scales). Additionally, I am involved in scientific visualization in the geosciences and engineering, as well as investigating the applicability of GRID- and Cloud-based technologies towards hydrometeorological problem domains.

 

Brief Bio

 

I am an Associate Professor in Atmospheric and Environmental Sciences & Civil and Environmental Engineering at the South Dakota School of Mines and Technology.  I received my M.S. and Ph.D. in Meteorology from Penn State and my B.S. in Atmospheric Sciences from the University of North Carolina at Asheville.  Currently at SD Mines, I am the program director of the Atmospheric and Environmental Sciences Program and I do research in hydrometeorology, forecast risk assessment, resiliency and hazards, and climate change.

 

Teaching

 

My teaching specialties revolve around numerical weather prediction, boundary layer meteorology, computing in the geosciences, numerical methods and environmental modeling.  I've also taught courses in climate science, remote sensing, and synoptic meteorology.

 

Course Listing