2016
DOI: 10.1073/pnas.1604386113
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Hurricane Sandy’s flood frequency increasing from year 1800 to 2100

Abstract: Coastal flood hazard varies in response to changes in storm surge climatology and the sea level. Here we combine probabilistic projections of the sea level and storm surge climatology to estimate the temporal evolution of flood hazard. We find that New York City's flood hazard has increased significantly over the past two centuries and is very likely to increase more sharply over the 21st century. Due to the effect of sea level rise, the return period of Hurricane Sandy's flood height decreased by a factor of … Show more

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Cited by 167 publications
(149 citation statements)
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“…These flood effects can be mapped for various return periods rather than the typical practice of mapping solely for the 100-or 500-year event. Finally, flood maps can also be developed based on projections of the future climate to quantify the impact of climate change and sea level rise (Kopp et al 2014;Lin et al 2016) on inland flooding.…”
Section: Resultsmentioning
confidence: 99%
“…These flood effects can be mapped for various return periods rather than the typical practice of mapping solely for the 100-or 500-year event. Finally, flood maps can also be developed based on projections of the future climate to quantify the impact of climate change and sea level rise (Kopp et al 2014;Lin et al 2016) on inland flooding.…”
Section: Resultsmentioning
confidence: 99%
“…This reasoning has a physical foundation based on observations of modern storm recurrence (e.g. Eagleson, ; Wilkinson et al ., ; Lin et al ., ).…”
Section: A Numerical Model Of Mudrock Accumulationmentioning
confidence: 97%
“…First, we evaluate the sensitivity to assumptions on future emissions, which can cause large differences in sea level rise projections. Second, the choice of superimposing a single sea level rise percentile is analyzed, as for certain applications it may be more appropriate to incorporate the full probability distribution of projected sea level rise through mathematical convolution (Lin et al ., ; Lin and Shullman, ; Ruckert et al ., ). In the third sensitivity test, we examine the possible influence of changing storm characteristics due to climate change, for which there remains substantial uncertainty.…”
Section: Introductionmentioning
confidence: 99%