Technical Notes
Dec 22, 2017

Examination of Changes in Annual Maximum Gauge Height in the Continental United States Using Quantile Regression

Publication: Journal of Hydrologic Engineering
Volume 23, Issue 3

Abstract

This study focuses on the detection of temporal changes in annual maximum gauge height (GH) across the continental United States and their relationship to changes in short- and long-term precipitation. Analyses are based on 1,805 U.S. Geological Survey records over the 1985–2015 period and are performed using quantile regression. Trends were significant only at a limited number of sites, with a higher number of detections at the tails of the distribution. Overall, there is only weak evidence that the annual maximum GH records have been changing over the continental United States during the past 30 years, possibly due to a weak signal of change, large variability, and limited record length. In addition to trend detection, the extent to which these changes can be attributed to storm total rainfall and long-term precipitation was also assessed. The findings of this study indicate that temporal changes in GH maxima are largely driven by storm total rainfall across large areas of the continental United States (east of the 100th meridian, the West Coast). Long-term precipitation accumulation, on the other hand, is a strong flood predictor in regions where snowmelt is an important flood-generating mechanism (e.g., northern Great Plains, Rocky Mountains), and is overall a relatively less important predictor of extreme flood events.

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Acknowledgments

The authors are extremely grateful to the USGS for collecting and providing the gauge height data. This material is based upon work supported by the Broad Agency Announcement Program and the Engineer Research and Development Center–Cold Regions Research and Engineering Laboratory under Contract W913E5-16-C-0002, National Science Foundation under CAREER Grant AGS-1349827, IIHR-Hydroscience and Engineering, and the Iowa Flood Center. We acknowledge comments and suggestions by two anonymous reviewers and the editors.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 23Issue 3March 2018

History

Received: Feb 6, 2017
Accepted: Aug 30, 2017
Published online: Dec 22, 2017
Published in print: Mar 1, 2018
Discussion open until: May 22, 2018

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Authors

Affiliations

Gabriele Villarini [email protected]
Associate Professor, IIHR-Hydroscience and Engineering, Univ. of Iowa, 306 C. Maxwell Stanley Hydraulics Laboratory, Iowa City, IA 52242 (corresponding author). E-mail: [email protected]
Louise J. Slater
Lecturer, Dept. of Geography, Loughborough Univ., Loughborough LE11 3TU, U.K.

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