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Characterizing spatiotemporal trends in extreme precipitation in Southeast Texas

Author

Listed:
  • Carlynn Fagnant

    (Rice University)

  • Avantika Gori

    (Rice University
    Princeton University)

  • Antonia Sebastian

    (Rice University
    Texas A&M University at Galveston
    University of North Carolina at Chapel Hill)

  • Philip B. Bedient

    (Rice University)

  • Katherine B. Ensor

    (Rice University)

Abstract

Rainfall extreme value analysis provides information that has been crucial in characterizing risk, designing successful infrastructure systems, and ultimately protecting people and property from the threat of rainfall-induced flooding. However, in the Houston region recent events (such as the unprecedented rainfall wrought by Hurricane Harvey) have highlighted the inability of existing analyses to accurately characterize current climate conditions. Specifically, there has been little research investigating how spatial patterns of extreme precipitation have shifted through time in the Texas Gulf Coast region, which has led to mis-characterization of existing intensity–duration–frequency curves. This study investigates spatiotemporal trends in extreme precipitation in southeast Texas using a statistical approach for peaks-over-threshold modeling that employs a generalized Pareto distribution. Precipitation data from over 600 rain gauges across the region are analyzed in 40-year time windows to evaluate shifts in distribution parameters and extreme rainfall levels through time. Spatial analysis of these trends focuses on highlighting regions with increasing, stationary, and decreasing extreme rainfall through time. Results demonstrate heterogeneity in spatiotemporal trends across the entire study region, but significant increases in extreme rainfall over the Houston urban area. Spatial analysis of these trends focuses on how extreme rainfall has changed within different watersheds. Return level estimates of extreme rainfall values are also compared to the current standards for Harris County. Results from this study identify areas that have experienced significant shifts in extreme rainfall, and can help inform where design standards may be inaccurate or outdated.

Suggested Citation

  • Carlynn Fagnant & Avantika Gori & Antonia Sebastian & Philip B. Bedient & Katherine B. Ensor, 2020. "Characterizing spatiotemporal trends in extreme precipitation in Southeast Texas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1597-1621, November.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:2:d:10.1007_s11069-020-04235-x
    DOI: 10.1007/s11069-020-04235-x
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    References listed on IDEAS

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    1. Whitney K. Huang & Douglas W. Nychka & Hao Zhang, 2019. "Estimating precipitation extremes using the log‐histospline," Environmetrics, John Wiley & Sons, Ltd., vol. 30(4), June.
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    3. Wei Zhang & Gabriele Villarini & Gabriel A. Vecchi & James A. Smith, 2018. "Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston," Nature, Nature, vol. 563(7731), pages 384-388, November.
    4. Wesley E Highfield & Sarah A Norman & Samuel D Brody, 2013. "Examining the 100‐Year Floodplain as a Metric of Risk, Loss, and Household Adjustment," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 186-191, February.
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    2. Avantika Gori & Ning Lin & Dazhi Xi & Kerry Emanuel, 2022. "Tropical cyclone climatology change greatly exacerbates US extreme rainfall–surge hazard," Nature Climate Change, Nature, vol. 12(2), pages 171-178, February.
    3. Cheng Li & Xiaojie Mao & Mingxing Zheng & Mingyang Han, 2024. "Adapting Seasonal Rice Cultivation Strategies for Food Security in Response to Climate Change Impacts," Sustainability, MDPI, vol. 16(16), pages 1-15, August.

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