Analysis of a compounding surge and precipitation event in the Netherlands

By B. van den Hurk, E. van Meijgaard, P. de Valk, Klaas-Jan van Heeringen, J. De Gooijer. 2015

168 citations recorded by the source corpus.

Hydrological extremes in coastal areas in the Netherlands often result from a combination of anomalous (but not necessarily extreme) conditions: storm surges preventing the ability to discharge water to the open sea, and local precipitation generating excessive water levels in the inland area. A near-flooding event in January 2012 occurred due to such a combination of (mild) extreme weather conditions, by which free discharge of excessive water was not possible for five consecutive tidal periods. An ensemble of regional climate model simulations (covering 800 years of simulation data for current climate conditions) is used to demonstrate that the combined occurrence of the heavy precipitation and storm surge in this area is physically related. Joint probability distributions of the events are generated from the model ensemble, and compared to distributions of randomized variables, removing the potential correlation. A clear difference is seen. An inland water model is linked to the meteorological simulations, to analyze the statistics of extreme water levels and its relationship to the driving forces. The role of the correlation between storm surge and heavy precipitation increases with inland water level up to a certain value, but its role decreases at the higher water levels when tidal characteristics become increasingly important. The case study illustrates the types of analyzes needed to assess the impact of compounding events, and shows the importance of coupling a realistic impact model (expressing the inland water level) for deriving useful statistics from the model simulations.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/65b0c2c223d6e63f93d233bad5df2c2c492ba02f

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Citations in the corpus

Dependence of drivers affects risks associated with compound events (2017, background): “Our analysis suggests that univariate assessments of extremes may fall short in communicating risks related to impacts of climate extremes, because often several variables are responsible for causing extreme impacts (1, 9).”
Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy) (2017, unknown): “Only a few studies have explicitly quantiﬁed the impact of compound ﬂoods and the associated risks (Zheng et al., 2015, 2014; Van den Hurk et al., 2015; Van Den Brink et al., 2005) The reason might be difﬁculties in quantifying the impact due to a lack of data.”
A global reanalysis of storm surges and extreme sea levels (2016, unknown): “In other delta regions, including compound ﬂood events may also be critical for correctly assessing ﬂood risk 61–64 .”