Reacción a "Rising sea levels are increasing the frequency of extreme weather events along coastlines"

The study published in Nature Climate Change is based on a robust and credible validation chain: 163 long-term tide gauge records reproduced using CMIP5 simulations combined with vertical land movement (VLM) and terrestrial water storage (TWS). The stratified resampling (5,000 samples) used to correct for the heavy concentration of tide gauges in Europe and North America is a genuine strength of the study. The conclusions are well supported for the relative sea level (RSL) signal, which is the true focus of the study.

Previous attribution studies had identified traces of human influence in individual components (thermostatic expansion, glacier loss) or in global mean sea level. This article extends that logic to the local RSL level and, for the first time on a global scale, to the frequency of extreme events—something previously demonstrated only for the isolated case of Hurricane Sandy. It also confirms the prior consensus that RSL, rather than changes in storm surge or tides, is primarily responsible for the observed trends in extreme levels.

The authors use the older generation of CMIP5 models (a decision justified by the absence of simulations with individual ice and glacier forcings in CMIP6). They also deliberately exclude the non-stationarities of storm surges and tides, which other studies have shown can be significant at the regional scale; semi-enclosed seas such as the Mediterranean and the Baltic are also excluded.

The most relevant conclusion is that the transformation of coastal flood risk is already underway and is not merely a projection for 2050–2100. This has direct implications for adaptation planning, infrastructure design, and the setting of insurance premiums. The authors’ additional suggestion that this evidence could contribute to climate litigation and claims for loss and damage is plausible, though more speculative: attribution at the local scale allows for the establishment of a physical causal relationship, but translating that causality into legal liability or the economic valuation of damages requires steps that go far beyond what the study itself demonstrates.