2019
DOI: 10.1029/2018ef001119
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Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States

Abstract: Inland flood risk in the United States is most often conveyed through maps of 1% annual exceedance probability (AEP) or “100‐year” floodplains. However, monetary damages from flooding arise from a full distribution of events, including floods both larger and smaller than the 1% AEP event. Furthermore, floodplains are not static, since both the frequency and magnitude of flooding are likely to change in a warming climate. We explored the implications of a changing frequency and magnitude of flooding across a wi… Show more

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Cited by 23 publications
(23 citation statements)
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“…Additional details on the methods used for extracting future return intervals can be found in Wobus et al (2017) and Wobus et al (2019) .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Additional details on the methods used for extracting future return intervals can be found in Wobus et al (2017) and Wobus et al (2019) .…”
Section: Methodsmentioning
confidence: 99%
“…Until recently, the data required to prioritize adaptation investments at local scales have not been available at a sufficiently granular scale to inform these decisions. In addition, riverine flood maps from FEMA are typically available for only one or two recurrence intervals (typically the “100-year” and “500-year” flood events), which does not allow calculation of the expected annual damages (EAD) from floods of all magnitudes ( Ward et al, 2011 ; Wobus et al, 2019 ). Finally, most publicly available flood risk products do not sufficiently account for the impact of climate change on the future magnitude and frequency of floods.…”
Section: Introductionmentioning
confidence: 99%
“…Lastly, climate change may be poorly handled in large‐scale hazard and risk analyses, and in many studies (e.g., Wing et al., 2018) it is not even considered at all. Many large‐scale assessments of future fluvial flood hazard (Alfieri et al., 2016; Hirabayashi et al., 2013; Wobus et al., 2019) are driven with the output of Global Circulation Models that may poorly represent extreme rainfall (Gregersen et al., 2013; Kendon et al., 2014) and which still do not fully resolve tropical cyclones (Emanuel, 2013). This is especially problematic for countries like the US where tropical cyclones play a central role in driving flood losses (Smith et al., 2010) and where hurricane‐induced coastal flooding is likely to increase in the future (Marsooli et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…On average, direct flood losses have risen from USD 4 billion annually in the 1980's to roughly USD 17 billion annually from 2010 to 2018 [2]. Increasing development of flood-prone areas is a key driver of rising [3][4][5] and climate change is expected to exacerbate losses even further [6][7][8][9]. In both the international and U.S. cases, the current and future expectations around flood risk and damages make the need for readily available impact assessment tools that can be created at scale and the use of publicly available data and transparent methods imperative.…”
Section: Introductionmentioning
confidence: 99%
“…In recent studies, researchers have examined AALs on a broader scale. Wobus et al [6] examine how riverine flood damages across 376 US watersheds are expected to change in response to rising global temperatures. They find that expected annual damages are 5 to 7 times higher than damages expected from the 1% annual chance event and that a significant share of the losses attributable to a more comprehensive evaluation of flood risk.…”
Section: Introductionmentioning
confidence: 99%