可重新定位潮汐预报及风暴潮预报

T. Prime
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引用次数: 0

摘要

海洋环境对世界各地的社区来说是一个巨大而重要的资源。然而,海洋环境日益呈现出可能产生巨大负面影响的危险。一个重要的海洋灾害是由风暴及其伴随的浪涌造成的。这可能导致沿海洪水,特别是当浪涌和天文高潮同时发生时,随之而来的影响包括财产破坏、农业用地盐碱化和海岸侵蚀。在潮汐和风暴潮信息及时、准确、易懂的情况下,数据可以提供:1。规划的证据:对过去情况的统计,如极端事件发生的概率,可用于帮助规划改善沿海基础设施,使其能够承受和减轻特定极端事件的危害。2. 早期预警系统:风暴潮的短期预报可以为沿海社区提供早期预警,使他们能够采取行动,使他们能够抵御极端事件,例如部署防洪措施或动员应急措施。有关海平面高度的资料可由各种现场观测资料(例如潮汐计)和远程观测资料(例如卫星测高)提供。然而,为了提供高时空分辨率的预报,采用了动态海洋模式。近几十年来,国家海洋学中心在开发沿海海洋模型方面一直处于世界领先地位。本文将介绍我们目前为马达加斯加气象局开发信息系统项目的进展情况。C-RISC项目与海平面研究有限公司合作执行,正在将NOC目前在风暴潮预报和潮汐预报方面的建模能力转化为一个系统,该系统将提供可以轻松转移到其他地区的信息,并可扩展到包括其他灾害类型。结果是一个易于搬迁的高分辨率风暴潮预警系统,将直接惠及沿海社区。在极端风暴潮事件发生之前和发生期间,为他们提供有效决策所需的信息。
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Relocatable Tide Prediction and Storm Surge Forecasting
The marine environment represents a large and important resource for communities around the world. However, the marine environment increasingly presents hazards that can have a large negative impact. One important marine hazard results from storms and their accompanying surges. This can lead to coastal flooding, particularly when surge and astronomical high tides align, with resultant impacts such as destruction of property, saline degradation of agricultural land and coastal erosion. Where tide and storm surge information are provided and accessed in a timely, accurate and understandable way, the data can provide: 1. Evidence for planning: Statistics of past conditions such as the probability of extreme event occurrence can be used to help plan improvements to coastal infrastructure that are able to withstand and mitigate the hazard from a given extreme event. 2. Early warning systems: Short term forecasts of storm surge allow provide early warnings to coastal communities enabling them to take actions to allow them to withstand extreme events, e.g. deploy flood prevention measures or mobilise emergency response measures. Data regarding sea level height can be provided from various in-situ observations such as tide gauges and remote observations such as satellite altimetry. However, to provide a forecast at high spatial and temporal resolution a dynamic ocean model is used. Over recent decades the National Oceanography Centre has been a world leading in developing coastal ocean models. This paper will present our progress on a current project to develop an information system for the Madagascan Met Office. The project, C-RISC, being executed in partnership with Sea Level Research Ltd, is translating the current modelling capability of NOC in storm surge forecasting and tidal prediction into a system that will provide information that can be easily transferred to other regions and is scalable to include other hazard types The outcome, an operational high-resolution storm surge warning system that is easy to relocate, will directly benefit coastal communities, giving them information they need to make effective decisions before and during extreme storm surge events.
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