Oversimplification of flood hazard assessment
The study acknowledges that site-specific flooding results from complex interactions of extreme water levels, topography, and the built environment. However, it uses extreme water levels as a proxy for flood hazard potential in its large-scale assessment, which might not accurately reflect actual flood risks at specific locations. This simplification can lead to overestimation or underestimation of flood risk in particular areas, hindering effective adaptation strategies.
Assumption of stationary extreme value distributions
The study assumes a stationary approach to extreme value theory, meaning that exceedance probability distributions remain constant over time, except for changes in mean due to sea-level rise. However, climate change can cause non-stationary changes like increased storminess, altering these distributions. Ignoring this can lead to inaccurate projections of future flood risk, especially towards the end of the 21st century when non-stationary effects become more pronounced.
Limited representation of coastal environments
The study uses a limited set of tide gauges, which are mostly located in sheltered areas like harbors and bays. This might not adequately represent the entire coastline, especially areas exposed to open ocean conditions with significant wave action. The exclusion of wave effects can substantially underestimate actual flood risks in exposed areas, potentially misleading coastal planning efforts.