The ability of a barotropic model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones

被引:25
作者
Calafat, F. M. [1 ]
Avgoustoglou, E. [2 ]
Jorda, G. [1 ,3 ]
Flocas, H. [4 ]
Zodiatis, G. [5 ]
Tsimplis, M. N. [1 ]
Kouroutzoglou, J. [2 ,4 ]
机构
[1] Natl Oceanog Ctr, Southampton, Hants, England
[2] Hellen Natl Meteorol Serv, Athens, Greece
[3] Inst Mediterrani Estudis Avancats UIB CSIC, Esporles, Spain
[4] Univ Athens, Dept Atmospher Phys Meteorol, Fac Phys, Athens 11528, Greece
[5] Univ Cyprus, Oceanog Ctr, Nicosia, Cyprus
关键词
sea level extremes; numerical model; explosive cyclones; storm surge; CLIMATE-CHANGE; STORM SURGES; NORTH-SEA; VARIABILITY; ENSEMBLE; HINDCAST;
D O I
10.1002/2014JC010360
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Storm surges are responsible for great damage to coastal property and loss of life every year. Coastal management and adaptation practices are essential to reduce such damage. Numerical models provide a useful tool for informing these practices as they simulate sea level with high spatial resolution. Here we investigate the ability of a barotropic version of the HAMSOM model to simulate sea level extremes of meteorological origin in the Mediterranean Sea, including those caused by explosive cyclones. For this purpose, the output of the model is compared to hourly sea level observations from six tide gauge records (Valencia, Barcelona, Marseille, Civitavecchia, Trieste, and Antalya). It is found that the model underestimates the positive extremes significantly at all stations, in some cases by up to 65%. At Trieste, the model can also sometimes overestimate the extremes significantly. The differences between the model and the residuals are not constant for extremes of a given height, which limits the applicability of the numerical model for storm surge forecasting because calibration is difficult. The 50 and 10 year return levels are reasonably well captured by the model at all stations except Barcelona and Marseille, where they are underestimated by over 30%. The number of exceedances of the 99.9th and 99.95% percentiles over a period of 25 years is severely underestimated by the model at all stations. The skill of the model for predicting the timing and value of the storm surges seems to be higher for the events associated with explosive cyclones at all stations.
引用
收藏
页码:7840 / 7853
页数:14
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