Uncertainty and Parameter Estimation

Thursday, November 7, 2013: 9:40 a.m.
Randall Hunt, Ph.D., PH , Wisconsin Water Science Center, United States Geological Survey, Middleton, WI

No matter how sophisticated the groundwater model, a model is by definition a simplification of reality—a simplification that tries to accurately characterize mostly unseen water flowing in an unknowably complex earth under future stresses that can only be guessed at. Therefore, it is not surprising that groundwater models can no longer be considered “crystal balls” foretelling the future, but rather are best discussed in the context of their inherent uncertainty. Although general uncertainty concepts are widely understood, best practices for conveying uncertainty estimates are not well established. Parameter estimation techniques provide a quantitative framework that can form a common language and provide metrics for discussing model uncertainty. As a result, parameter estimation approaches are an increasingly indispensable part of 21st century groundwater modeling.

Randall Hunt, Ph.D., PH, Wisconsin Water Science Center, United States Geological Survey, Middleton, WI
Randall Hunt is a research hydrologist for the U.S. Geological Survey and an adjunct professor of geology and geophysics at the University of Wisconsin-Madison. He received a B.A. majoring in geology and business from Gustavus Adolphus College, and an M.S. and Ph.D. in geology from the University of Wisconsin-Madison. He has co-authored more than 60 publications and currently is an associate editor for the journal Groundwater.