Sean Vitousek

TL;DR: This work uses extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale and finds that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency.

TL;DR: In this article, the authors synthesize multi-decadal, co-located data assimilated between 1979 and 2012 that describe wave climate, local water levels and coastal change for 48 beaches throughout the Pacific Ocean basin.

TL;DR: A dynamic modeling approach is presented that estimates climate-driven changes in flood-hazard exposure by integrating the effects of SLR, tides, waves, storms, and coastal change (i.e. beach erosion and cliff retreat) and highlights the importance of including climate-change driven dynamic coastal processes and impacts in both short-term hazard mitigation and long-term adaptation planning.

TL;DR: In this article, a transect-based, one-line model that predicts short-term and long-term shoreline response to climate change in the 21st century is presented.

TL;DR: The odds of exceeding critical water-level thresholds increases exponentially with sea-level rise, meaning that fixed amounts of sea- level rise in areas with a narrow range of present-day extreme water levels can double the odds of flooding, and the need for immediate planning and adaptation to mitigate the societal impacts of future flooding.