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Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project

机译:利用卫星数据的潜力改进威尼斯湾的风暴潮预报:ESA DUE eSurge-Venice项目

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ABSTRACT The northern Adriatic Sea is affected by storm surges, which often cause the flooding in Venice and the surrounding areas. We present the results of the eSurge-Venice project, funded by the European Space Agency (ESA) in the framework of its Data User Element programme: the project was aimed to demonstrate the potential of satellite data in improving storm surge forecasting, with focus on the Gulf of Venice. The satellite data used were scatterometer wind and altimeter sea level height. Hindcast experiments were conducted to assess the sensitivity of a storm surge model to a model wind forcing modified with scatterometer data and to altimeter retrievals assimilated with a dual 4D-Var system. The modified model wind forcing alone was responsible for a reduction of the mean difference between modelled and observed maximum surge peaks from ?¢????15.1 to ?¢????8.2 cm, while combining together scatterometer and altimeter data the mean difference further reduced to ?¢????6.0 cm. In terms of percent, the improvements in the reduction on the mean differences between modelled and observed surge peaks reaches 46% using only the scatterometer data, and 60% using both scatterometer and altimeter data.
机译:摘要北部亚得里亚海受到风暴潮的影响,风暴潮经常引起威尼斯及其周边地区的洪灾。我们介绍由欧洲航天局(ESA)在其数据用户元素计划框架内资助的eSurge-Venice项目的结果:该项目旨在展示卫星数据在改善风暴潮预报方面的潜力,重点是威尼斯湾。使用的卫星数据是散射仪风和高度计海平面高度。进行了Hindcast实验,以评估风暴潮模型对用散射仪数据修改的模型强迫和对双4D-Var系统进行同化的高度计检索的敏感性。单独使用修改后的模型风强迫可以使建模和观察到的最大喘振峰之间的平均差从?15.1减小到8.2 cm,同时将散射仪和高度计数据组合在一起,可以得出平均差进一步减小到6.0厘米。就百分比而言,仅使用散射仪数据,模拟和观察到的喘振峰之间的平均差异减少的改善达到46%,而使用散射仪和高度计数据则达到60%。

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