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    Link to the article

    [https://www.nature.com/articles/s41586-026-10196-1](https://www.nature.com/articles/s41586-026-10196-1)

    Abstract:

    The impacts of sea-level rise and other hazards on the coasts of the world are determined by coastal sea-level height and land elevation[^(1)](https://www.nature.com/articles/s41586-026-10196-1#ref-CR1). Correct integration of both aspects is fundamental for reliable sea-level rise and coastal hazard impact assessments[^(2)](https://www.nature.com/articles/s41586-026-10196-1#ref-CR2)^(,)[^(3)](https://www.nature.com/articles/s41586-026-10196-1#ref-CR3), but is often not carefully considered or properly performed. Here we show that more than 99% of the evaluated impact assessments handled sea-level and land elevation data inadequately, thereby misjudging sea level relative to coastal elevation. Based on our literature evaluation, 90% of the hazard assessments assume coastal sea levels based on geoid models, rather than using actual sea-level measurements. Our meta-analyses on global scale show that measured coastal sea level is higher than assumed in most hazard assessments (mean offsets [standard deviation] of 0.27 m [0.76 m] and 0.24 m [0.52 m] for two commonly-used geoids). Regionally, predominantly in the Global South, measured mean sea level can be more than 1 m above global geoids, with the largest differences in the Indo-Pacific. Compared with geoid-based assumptions of coastal sea level, the measured values suggest that with a hypothetical 1 m of relative sea-level rise, 31–37% more land and 48–68% more people (increasing estimates to 77–132 million) would fall below sea level. Our results highlight the need for re-evaluation of existing coastal impact assessments and improvement of research community standards, with possible implications for policymakers, climate finance and coastal adaptation.

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