Abstract
Dependence between extreme rainfall and storm surge can have significant implications for coastal floods, which are often caused by joint occurrence of these flood drivers (through pluvial or fluvial processes). The effect of multiple drivers leading to a compound flood event poses higher risk than those caused by a single flood-driving process. There is strong evidence that compound floods caused by joint occurrence of extreme storm surge and heavy rainfall are related to meteorological forcing (e.g. large scale pressure systems and wind) and climate phenomena (e.g. the El Niño Southern Oscillation or ENSO). Therefore, understanding how climate phenomena affect the co-occurrence of coastal flood drivers is an important step towards understanding future coastal flood risk under climate change. Here we examine the impact of one of the most important climate phenomena—ENSO—on dependence between storm surge and rainfall in Australia, using both observed surge and modelled surge from a linked ocean-climate model—the Regional Ocean Modeling System. Our results show that ENSO has a significant impact on the dependence between extreme rainfall and storm surge, thus flood risk resulted from these drivers. The overall dependence is largely driven by La Niña in Australia, with increased dependence observed during La Niña along most of the Australian coastline. However, there can be increased dependence during El Niño in some locations. The results demonstrate dependence is contributed by unequally-weighted mechanisms due to the interaction between climate phenomena and local features, indicating the need for greater understanding of composition of compound flood risk. Where climate phenomena are anticipated to change into the future, it is possible to use integrated process-driven models to establish a better understanding of whether extremes are more likely to co-occur and exacerbate compound flood risk.
Highlights
Coastal floods are often a result of compound events (IPCC 2012, Leonard et al 2014, Zscheischler et al 2018), caused by dependent processes such as storm surge and runoff generated from heavy rainfall
Overall dependence The dependence between extreme storm surge and rainfall estimated during different seasons and El Niño Southern Oscillation (ENSO) phases are respectively shown based on the observed surge in figure 2 and based on Regional Ocean Modeling System (ROMS) modelled surge in figure 3
Results in figure 5 show that it is the relative relationship between the two coastal flood drivers with respect to ENSO that gives rise to differences in the dependence along the Australian coastline when it is partitioned according to ENSO phases
Summary
Coastal floods are often a result of compound events (IPCC 2012, Leonard et al 2014, Zscheischler et al 2018), caused by dependent processes such as storm surge and runoff generated from heavy rainfall. Previous research shows that the dependence between extreme rainfall and storm surge can have a significant impact on the risk of coastal floods; and floods caused by these two dependent processes pose higher risk than those caused by a single flood-driving process (Zheng et al 2013). By quantifying the dependence between extreme rainfall and storm surge, a design variable method developed in previous studies can be used to correctly quantify flood risk caused by these drivers (Zheng et al 2013, Zheng et al 2015). Coastal flood risk attributed to storm surge and rainfall (through pluvial or fluvial processes) has been reported in many regions around the world, including Understanding how the dependence between these flood drivers change in the future under climate change will help us to understand and estimate future coastal flood risk.
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