To compensate for our poor understanding of hydrologic science, the practice of engineering hydrology to this day relies heavily upon empiricisms that were developed in the era before the advent of advanced hydrologic measurement technologies, digital computers, geospatial databases, and remote sensing. I believe that to truly advance, hydrology must move away from these old empricisms by improving our process-level predictive understanding of the hydrologic cycle. Bringing new science into the practice of hydrologic engineering is my overarching research objective.
ABOUT FRED OGDEN
I have been involved in the research enterprise almost continuously since completion of my B.S. degree in 1987. In the intervening 27 years, I have established myself as a recognized senior researcher in physical hydrology and hydrological model development. Together with my graduate students, post-doctoral associates and collaborators, I have published papers in radar-rainfall remote sensing data analysis, vadose zone flow algorithm development, catchment scale studies and observations, runoff generation modeling, regional hydroclimatic modeling, and applications of hydrological scaling theory.