Developing predictive models for water and contaminant fate and transport is complicated by natural heterogeneity and the disparity of scales across which controlling hydrological, geochemical, and microbiological processes dominate. Because geophysical attributes are sensitive to some of the key hydrological and biogeochemical properties that govern flow and transport, they can provide important information for improving the predictive understanding of complex dynamic subsurface systems. In this special session, we solicit contributions that describe novel approaches for using geophysical data to improve quantitative characterization and monitoring of subsurface properties and processes, including studies focused on integration or joint inversion of diverse data sets, model appraisal, approaches to deal with space- and method-varying scale and resolution, uncertainty estimation, and petrophysical studies that link geophysical and hydrobiogeochemical properties. We also encourage contributions that illustrate through applications how geophysically-obtained information has been used to improve flow and transport predictions and ultimately subsurface water resources or contaminant management.