2018
DOI: 10.25923/1ceg-5094
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Precipitation-Frequency Atlas of the United States. Volume 11, Version 2.0. Texas.

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Cited by 3 publications
(2 citation statements)
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“…The greater Houston area has been inundated frequently in recent years, with flood events in 2001, 2015, 2016, 2017, and 2019. In 2018, the NOAA released Atlas 14, an updated precipitation-frequency dataset for the U.S. Atlas 14 predictions indicate a 5-and 10-inch (13 and 25 cm) increase in the expected 100-and 500-year 24-h precipitation total over much of Southeast Texas (Perica et al, 2018). For Harris County, these values indicate that the traditional 500-year rainfall event will be closer to a 100-year rainfall event going forward.…”
Section: Harvey Rainfallmentioning
confidence: 99%
“…The greater Houston area has been inundated frequently in recent years, with flood events in 2001, 2015, 2016, 2017, and 2019. In 2018, the NOAA released Atlas 14, an updated precipitation-frequency dataset for the U.S. Atlas 14 predictions indicate a 5-and 10-inch (13 and 25 cm) increase in the expected 100-and 500-year 24-h precipitation total over much of Southeast Texas (Perica et al, 2018). For Harris County, these values indicate that the traditional 500-year rainfall event will be closer to a 100-year rainfall event going forward.…”
Section: Harvey Rainfallmentioning
confidence: 99%
“…Regardless of the observed and future projected increase in extreme precipitation, the existing design standards for urban infrastructure and flood mitigation strategies in the US are based on the assumption of stationary climate (L. Cheng & AghaKouchak, 2014;Das et al, 2013). For example, the design precipitation estimates provided by the National Oceanic and Atmospheric Administration (NOAA) in Atlas-14 are computed by considering stationary (i.e., no significant trends) extreme precipitation (Perica et al, 2018;Tousi et al, 2021;Underwood et al, 2020). Recent studies have challenged this assumption and demonstrated that the stationarity assumption considerably underestimate the design return levels in comparison to the nonstationarity based design precipitation for different parts of the US (L. Cheng & AghaKouchak, 2014;Vu & Mishra, 2019).…”
mentioning
confidence: 99%