2015
DOI: 10.1007/s11069-015-1646-5
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Development and uncertainty quantification of hurricane surge response functions for hazard assessment in coastal bays

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Cited by 23 publications
(13 citation statements)
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“…The maximum ocean surge simulated is 6 m and the maximum ocean surge is approximately 4.5 m. Several studies have shown that storm surge is nonlinearly affected by sea levels such that amplification and deamplification of surge occurs as sea levels rise (e.g. Bilskie et al, 2014;Taylor et al, 2015). Here, it is acknowledged that this is a limitation of this study but is chosen for simplicity in comparison between storms and the resulting morphological changes.…”
Section: Figure 5 Water Levels (A) At the Offshore Boundary And (B) mentioning
confidence: 99%
“…The maximum ocean surge simulated is 6 m and the maximum ocean surge is approximately 4.5 m. Several studies have shown that storm surge is nonlinearly affected by sea levels such that amplification and deamplification of surge occurs as sea levels rise (e.g. Bilskie et al, 2014;Taylor et al, 2015). Here, it is acknowledged that this is a limitation of this study but is chosen for simplicity in comparison between storms and the resulting morphological changes.…”
Section: Figure 5 Water Levels (A) At the Offshore Boundary And (B) mentioning
confidence: 99%
“…For example, the predicted relative increase in surge hazard in the bays of Panama City, Florida is not linear with sea level rise. It either increases more slowly (at a rate as little as 85%), or more quickly (at a rate as much as 115%) than sea level rise, depending on location (Taylor et al, 2015). Levees, floodwalls, storm gates, and other infrastructure designed to reduce storm damage in specific geographic areas might impact storm surge and create damage in other nearby areas.…”
Section: Episodic Coastal and Riverine Floodingmentioning
confidence: 99%
“…Here, a is small such that slope k (shown here) represents one plus the fractional change in z SLR with respect to (ζ+SLR). From Taylor et al [76] Furthermore, many hazard and risk assessment studies approximate the impact of sea-level rise on future tropical cyclone flooding statistics via direct linear summation of the present-day probabilistic hazard assessment and projected sea-level rise (e.g., [57,72,75,77]), ignoring nonlinear interactions characteristic of complex coastlines and estuarine environments (e.g., [91,93]). This is problematic because this approach potentially creates a bias, on the order of 15 % in the future flood elevation (Fig.…”
Section: Nonstationary Considerations-decadal Variability and Long-tementioning
confidence: 99%
“…This is problematic because this approach potentially creates a bias, on the order of 15 % in the future flood elevation (Fig. 4), either high or low depending on exact geographic location (e.g., [76]). …”
Section: Nonstationary Considerations-decadal Variability and Long-tementioning
confidence: 99%