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IMPROVEMENTS OF STORM SURGE MODELLING IN THE GULF OF VENICE WITH SATELLITE DATA: THE ESA DUE ESURGE-VENICE PROJECT

机译:卫星数据威尼斯湾风暴浪涌建模的改进:ESA驻威胁项目

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Among the most detrimental natural phenomena, storm surges heavily endanger the environment, the economy and the everyday life of sea-side countries and coastal zones. Considering that 120.000.000 people live in the Mediterranean area, with additional 200.000.000 presences in Summer for tourism purposes, the correct prediction of storm surges is crucial to avoid fatalities and economic losses. Earth Observation (EO) can play an important role in operational storm surge forecasting, yet it is not widely diffused in the storm surge community. In 2011 the European Space Agency (ESA), through its Data User Element (DUE) programme, financed two projects aimed at encouraging the uptake of EO data in this sector: eSurge and eSurge-Venice (eSV). The former was intended to address the issues of a wider users' community, while the latter was focused on a restricted geographical area: the northern Adriatic Sea and the Gulf of Venice. Among the objectives of the two projects there were a number of storm surge hindcast experiments using satellite data, to demonstrate the improvements on the surge forecast brought by EO. We report here the results of the hindcast experiments of the eSV project. They were aimed to test the sensitivity of a storm surge model to a forcing wind field modified with scatterometer data in order to reduce the bias between simulated and observed winds. Hindcast experiments were also performed to test the response of the storm surge model to the assimilation, with a dual 4D-Var system, of satellite altimetry observations as model errors of the initial state of the sea surface level. Remarkable improvements on the storm surge forecast have been obtained for what concerns the modified model wind forcing. Encouraging results have been obtained also in the assimilation experiments.
机译:在最有害的自然现象中,风暴浪费危及环境,经济和海面国家和沿海地区的日常生活。考虑到120,000,000人住在地中海地区,夏季额外的200.000.000次顾客出于旅游目的,对风暴潮的正确预测至关重要,以避免死亡和经济损失至关重要。地球观测(EO)可以起到业务化风暴潮预报具有重要作用,但它没有被广泛扩散在风暴潮社区。 2011年,欧洲航天局(ESA)通过其数据用户元素(抵制)计划,资助了两个项目,旨在鼓励本领域的EO数据的吸收:肌肉和埃斯科 - 威尼斯(ESV)。前者旨在解决更广泛的用户社区的问题,而后者则专注于受限制的地理区域:北方亚得里亚海和威尼斯湾。在两个项目的目标中,使用卫星数据存在许多风暴浪涌的Hindcast实验,展示EO带来的浪涌预测的改进。我们在此报告ESV项目的Hindcast实验结果。他们的目的是测试,以减少模拟和观察到的风之间的偏压风暴潮模型的与散射数据改性的强制风场的灵敏度。还进行了Hindcast实验,以测试风暴浪涌模型与双重4D-VAR系统的同化的响应,卫星公共检测作为海面级初始状态的模型误差。已经获得了改进模型风强制涉及的风暴浪涌预测的显着改善。在同化实验中也获得了令人鼓舞的结果。

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