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Intersection of Hydrologic Change and Hydropower in the United States: Needs for Future Research and Practice

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Abstract

Hydropower is crucial for electric-grid stability in the context of variable renewables but faces threats from changing hydrology. Here, we summarize the state of the science at the intersection of hydropower operations and planning, hydrologic science, and climate. We focus on the United States, outlining research, development, and training needs. Key knowledge gaps include the risk that intensification of compound extreme events poses to future generation, as well as uncertainties surrounding greenhouse gas emissions from hydropower reservoirs with relevance to hydropower's role in energy decarbonization. Quantifying such impacts and reducing uncertainty are critical where possible, but remaining irreducible or deep uncertainty will require new approaches. Future monitoring and modeling methods must provide a better understanding of the complexity inherent in large watersheds that is critical to managing both hydropower and watersheds in the context of hydrologic change. Yet, research and development will have little impact if they do not inform practice. Standardization and consolidation of platforms are essential for data, modeling, and tool translation to local scales and small operators. An enhanced industry-academia dialog is pivotal for fostering a robust pipeline of hydropower professionals. Collaboration among researchers, policymakers, authorities, and industry stakeholders emerges as a recurring theme, highlighting the imperative for collective efforts.

Original languageEnglish
Article numbere70020
JournalJournal of the American Water Resources Association
Volume61
Issue number3
DOIs
StatePublished - Jun 2025

Funding

The authors thank Charles Scaife, Sebastian Grimm, John Bursi, and four anonymous reviewers for helpful reviews of the manuscript. This research was supported in part by an appointment sponsored by the US Department of Energy (DOE) and the American Association for the Advancement of Science, Science & Technology Policy Fellowship Program. This program is administered by the Oak Ridge Institute for Science and Education (ORISE), managed by Oak Ridge Associated Universities under DE‐SC0014664 for the US DOE. This paper was also co‐authored by employees of Pacific Northwest National Laboratory (PNNL), managed by Battelle under contract DE‐AC05‐76RL01830, and Oak Ridge National Laboratory (ORNL), managed by UT Battelle LLC, under contract DE‐AC05‐00OR22725 for the US DOE. Accordingly, the US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so for US government purposes. All opinions expressed in this paper are the and do not necessarily reflect the policies and views of DOE, ORISE, PNNL, or ORNL. authors There is a growing push to make hydrologic data broadly available and interoperable. A big driver in the U.S. has been data availability requirements of the Foundations for Evidence‐Based Policymaking Act of 2018 ( www.congress.gov/bill/115th‐congress/house‐bill/4174 ). This prompted many federal agencies and federally funded research entities to generate or further develop repositories. Example federally funded repositories relevant to hydrology, climate science, and hydropower include U.S. Geological Survey (USGS, waterdata.usgs.gov/nwis ), U.S. Federal Emergency Management Agency (FEMA, www.fema.gov/about/openfema/data‐sets ), U.S. Environmental Protection Agency (EPA, www.epa.gov/data ), U.S. Department of Energy (DOE, e.g., ess‐dive.lbl.gov ), U.S. Bureau of Reclamation (USBR, data.usbr.gov ), National Oceanic and Atmospheric Administration (NOAA, data.noaa.gov ), Critical Zone Observatories (CZOs, discover.criticalzone.org ), Long‐Term Ecological Research centers (LTERs, lternet.edu/using‐lter‐data/ ), and the National Ecological Observatory Network (NEON, data.neonscience.org ). Funding: This research was supported in part by an appointment sponsored by the US Department of Energy (DOE) (DE-AC05-76RL01830, DE-SC0014664) and the American Association for the Advancement of Science, Science & Technology Policy Fellowship Program (DE-AC05-00OR22725). The authors thank Charles Scaife, Sebastian Grimm, John Bursi, and four anonymous reviewers for helpful reviews of the manuscript. This research was supported in part by an appointment sponsored by the US Department of Energy (DOE) and the American Association for the Advancement of Science, Science & Technology Policy Fellowship Program. This program is administered by the Oak Ridge Institute for Science and Education (ORISE), managed by Oak Ridge Associated Universities under DE-SC0014664 for the US DOE. This paper was also co-authored by employees of Pacific Northwest National Laboratory (PNNL), managed by Battelle under contract DE-AC05-76RL01830, and Oak Ridge National Laboratory (ORNL), managed by UT Battelle LLC, under contract DE-AC05-00OR22725 for the US DOE. Accordingly, the US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so for US government purposes. All opinions expressed in this paper are the authors and do not necessarily reflect the policies and views of DOE, ORISE, PNNL, or ORNL. This research was supported in part by an appointment sponsored by the US Department of Energy (DOE) (DE‐AC05‐76RL01830, DE‐SC0014664) and the American Association for the Advancement of Science, Science & Technology Policy Fellowship Program (DE‐AC05‐00OR22725). Funding: This manuscript was authored in part by Battelle Memorial Institute Under Contract Number DE‐AC05‐76RL01830 with the US Department of Energy. The US Government retains and the publisher, by accepting this article for publication, acknowledges that the US Government retains a non‐exclusive, paid‐up, irrevocable, world‐wide license to publish or reproduce the published form of this manuscript, or allow others to do so for US Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan: ( http://energy.gov/downloads/doe‐public‐access‐plan ) Notice:

Keywords

  • climate variability/change<CLIMATE
  • hydraulic structures<HYDRAULICS
  • rivers/streams<GEOGRAPHY
  • simulation < MODELING
  • surface water hydrology<HYDROLOGY

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