the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Increased Intensity and Frequency of Global Coastal Compound Wind and Precipitation Extremes: Implications for Sea Level Anomalies
Abstract. Coastal flooding and damage can result from compound extremes of wind and precipitation that elevate sea level anomalies. However, the global patterns and impacts of such conditions are poorly understood. Here we analyze observational and model data to reveal a positive correlation between wind and precipitation extremes across most of the global coastline, especially at higher latitudes. We also show that these variables exhibit stronger dependence on higher quantiles, indicating more frequent and severe compound conditions. Moreover, we demonstrate that sea level anomalies are enhanced during compound conditions compared to normal conditions, implying increased coastal flooding risk. We project that both the intensity and frequency of compound conditions will rise in 2020–2100 compared to 1940–2014 under two emission scenarios, with larger changes at high latitudes. Our findings highlight the need for assessing and managing the risks and impacts of compound extremes on coastal communities and infrastructure.
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Status: open (until 08 Apr 2025)
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RC1: 'Comment on egusphere-2024-3799', Anonymous Referee #1, 19 Mar 2025
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This study tried to analyze the global coastal compound wind and precipitation "extremes" for coastal flood risk assessment. However, this study focused on 90 percentiles of monthly “mean” values. These statistics cannot represent extreme events at all. 90 percentiles of monthly mean values suppose to represent just the seasons with the severest wind and precipitation. Therefore, I think this study analyzed just seasonal synchronicity of wind, precipitation and sea level anomaly. The authors subtracted the monthly mean for removing seasonality, but variations were not subtracted. The season with larger mean values should take larger variations. Furthermore, monthly mean SLA derived from CMIP6 global climate models represents large scale thermodynamic sea level variance and not coastal extremes such as storm surges. I think this study didn’t take an appropriate approach to achieve objectives.
Citation: https://doi.org/10.5194/egusphere-2024-3799-RC1
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