Streamflow in the United States: Characteristics, trends, regime shifts, and extremes

Yiming Wang, Xuesong Zhang, Kaiguang Zhao, Debjani Singh

Research output: Contribution to journalArticlepeer-review

Abstract

Long-term streamflow observations contain essential information for understanding hydrological changes and managing water resources. A continental-scale dataset or analysis of temporal streamflow change is still lacking across hydrologic gauges in the Conterminous United States (CONUS). Here, we compiled 70 years of streamflow records from 1951 to 2021 at ~ 8000 hydrologic stations across the CONUS and characterized temporal trends, regime shifts, and extreme events using a Bayesian time series analysis algorithm. We found that the occurrences of sudden streamflow changes (e.g., regime shifts and extreme events) have been increasing with time across the CONUS. In addition, we derived 181 streamflow indicators that are valuable for hydrological and biological applications, such as the duration and frequency of high or low streamflow events. The Mississippi River Basin, especially the middle and lower parts, was a hot spot of high-frequency high-flow events. Overall, we anticipate the dataset generated here offers valuable information for understanding and quantifying changes in water resources across the CONUS.

Original languageEnglish
Article number788
JournalScientific Data
Volume11
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

Funding

This research is in part supported by the U.S. Department of Agriculture \u2013 Agricultural Research Service and the National Aeronautics and Space Administration (NASA 22-CMS22-0027). The mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the funding agencies.

FundersFunder number
U.S. Department of Agriculture
National Aeronautics and Space Administration22-CMS22-0027

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