Scott Steinschneider is an Assistant Professor in the Department of Biological and Environmental Engineering. His research goal is to understand how water resources systems can be designed and managed sustainably for the future.
Professor Steinschneider's research focuses on the intersection between anthropogenic, hydrologic, and climatic systems with an emphasis on water resources risk management. The broad goal of this research is to provide decision-centric information for the sustainable design and management of integrated water resource systems under an array of deeply uncertain future conditions. Current research interests encompass three principal focus areas, including 1) water resource systems planning and management under hydroclimatic variability and change, 2) uncertainty analysis in watershed modeling and the implications for decision-making, and 3) the evolution of hydrologic systems under anthropogenic impacts.
Dr. Steinschneider teaches students to develop the intellectual and creative skills necessary to address the evolving and interdisciplinary challenges facing water systems engineers, and stresses the effective communication necessary for the wide array of audiences involved in water resources management.
- Steinschneider, S., Yang, Y. C., & Brown, C. (2014). Combining regression and spatial proximity for catchment model regionalization: a comparative study. Hydrologic Sciences Journal.
- Steinschneider, S., Bernstein, A., Palmer, R. N., & Polebitski, A. (2014). Reservoir management optimization for basin-wide ecological restoration in the Connecticut River. Journal of Water Resources Planning and Management. 140:4014023.
- Steinschneider, S., & Brown, C. (2013). A semiparametric multivariate, multi-site weather generator with low-frequency variability for use in climate risk assessments. Water Resources Research. 49:7205-7220.
- Steinschneider, S., Yang, Y. C., & Brown, C. (2013). Panel Regression Techniques for Identifying Impacts of Anthropogenic Landscape Change on Hydrologic Response. Water Resources Research. 49:7874-7886.
- Steinschneider, S., & Brown, C. (2012). Dynamic reservoir management with realoption risk hedging as a robust adaptation to nonstationary climate. Water Resources Research. 48:W05524.
- Steinschneider, S., & Brown, C. (2012). Forecast-informed low-flow frequency analysis in a Bayesian framework for the northeastern United States. Water Resources Research. 48:W10545.
- Steinschneider, S., Polebitski, A., Brown, C., & Letcher, B. (2012). Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change. Water Resources Research. 48:W11525.
- Steinschneider, S., & Brown, C. (2011). Influences of North Atlantic climate variability on low-flows in the Connecticut River Basin. Journal of Hydrology. 409:212-224.