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portfolio

publications

Peatland drainage alters soil structure and water retention properties: Implications for ecosystem function and management

Published in Hydrological Processes, 2022

Here, we study how historic wetland drainage permanently changed soil properties in the Great Dismal Swamp.

Recommended citation: Word, C. S., McLaughlin, D. L., Strahm, B. D., Stewart, R. D., Varner, J. M., Wurster, F. C., Amestoy, T. J., & Link, N. T. (2022). "Peatland drainage alters soil structure and water retention properties: Implications for ecosystem function and management." Hydrological Processes, 36(3), e14533. https://doi.org/10.1002/hyp.14533

Pywr-DRB: An open-source Python model for water availability and drought risk assessment in the Delaware River Basin

Published in Environmental Modelling & Software, 2024

We introduce Pywr-DRB, an open-source water management simulation model of the Delaware River Basin that represents reservoir operations, New York City diversions, and the Flexible Flow Management Program, and use it to evaluate water availability and drought risk under multiple streamflow datasets.

Recommended citation: Hamilton, A. L., Amestoy, T. J., & Reed, P. M. (2024). "Pywr-DRB: An open-source Python model for water availability and drought risk assessment in the Delaware River Basin." Environmental Modelling & Software, 181, 106185. https://doi.org/10.1016/j.envsoft.2024.106185

Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis

Published in Environmental Modelling & Software, 2026

First-author paper presenting an integrated framework for stress-testing modern water management policies against historical droughts. A 1,000-member probabilistic reconstruction of daily Delaware River Basin streamflows (1945–2023) is generated by combining the National Hydrologic Model, a probabilistic flow-duration-curve prediction in ungauged basins method, and Bayesian bias correction, then used to drive Pywr-DRB.

Recommended citation: Amestoy, T. J., Hamilton, A. L., & Reed, P. M. (2026). "Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis." Environmental Modelling & Software, 195, 106756. https://doi.org/10.1016/j.envsoft.2025.106756

Balancing Supply and Financial Risks in Water Utility Decision Making under Uncertainty

Published in Journal of Water Resources Planning and Management, 2026

Co-authored study examining how water utilities can jointly manage water supply reliability and financial risk when planning under deep uncertainty.

Recommended citation: Petagna, C., Li, D., Gorelick, D. E., Gold, D. F., Amestoy, T., Lau, L., Asefa, T., Wang, H., Svrdlin, S., Reed, P. M., & Characklis, G. W. (2026). "Balancing Supply and Financial Risks in Water Utility Decision Making under Uncertainty." Journal of Water Resources Planning and Management, 152(4), 04026006. https://doi.org/10.1061/JWRMD5.WRENG-7164

talks

Student Engagement and Leadership Panel

Published:

The 2019 Peace Engineering Consortium was held at the University of New Mexico in partnership with the Global Engineering Deans Council, Sandia National Laboratory, Los Alamos National Laboratory, and Stanford’s Peace Innovation Lab.

teaching

CEE 5980: Decision Framing and Analytics

Graduate Teaching Assistant, Cornell University, School of Civil and Environmental Engineering, 2023

Graduate Teaching Assistant for CEE 5980 (Fall 2023), a graduate course on decision framing and analytics covering decision trees, risk profiles, value of information, risk attitudes and utility, and multi-objective decision making.

ENMGT 5920: Product Management

Graduate Teaching Assistant, Cornell University, Engineering Management Program, 2024

Graduate Teaching Assistant for ENMGT 5920 (Spring 2024), a project-based course in the Engineering Management program covering the product management lifecycle through team “sprints”, case studies, and guest lectures from industry product managers.