Coastal Resilience to flooding Impact through relocatable Storm surge forecasting Capability for developing nations (C-RISC)

沿海地区的洪水恢复能力 通过可重新定位的风暴潮预报的影响 发展中国家的能力 (C-RISC)

基本信息

  • 批准号:
    NE/R009406/1
  • 负责人:
  • 金额:
    $ 12.91万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2017
  • 资助国家:
    英国
  • 起止时间:
    2017 至 无数据
  • 项目状态:
    已结题

项目摘要

While the marine environment represents a substantial resource for growing coastal communities around the world it also can represent a substantial hazard to the life and livelihood of these communities. An important marine hazard arises from storms and their consequent surges. Surges are large scale increases in sea level resulting from a combination low atmospheric pressure and high winds. They lead to coastal flooding, coastal erosion and salt intrusion. In turn this results in loss of life, destruction of property and degradation of agricultural land. They are a global hazard that particularly impacts low lying coastal communities. In many places these are the poorest and most vulnerable communities. The provision of accurate and timely sea level forecasts can be of substantial benefit to avoiding and mitigating this hazard, by giving advanced warning to the communities and emergency services, in a similar way that weather forecasts provide warning of extreme rain or wind conditions. In this project we aim to provide a cost effective storm surge forecasts system that can be readily deployed for any coastal region of the world. We build on numerical ocean modelling capability developed in several of NERC project over the last decade. These have included projects focusing on Shelf Sea Biogeochemistry, on Ocean-Shelf transport and also NERC's National Capability Programme in Ocean Modelling. All of these required the development of highly accurate shelf sea models, include relevant physical processes of tides and wind-driven sea level variability.In this project we will develop the software capability to transfer the modelling approaches in these NERC projects to any sea region in the world and run as a storm surge forecast model, with simplified physics. These will be tested in NW European shelf seas and our demonstrator region in the Western Indian Ocean around Madagascar. To provide a reliable forecast set up we will transfer this system to a cloud computing service. Such services run by, e.g., Microsoft and Amazon, allow a user to rent a computer facility that is maintained 24/7, has a high level of reliability and can be duplicated. Importantly, it can be accessed anywhere in the world, removing the need to remotely setup a system on a partner organisation's computer. Once setup on the cloud service, we will run a trial operational period during the 2018/19 cyclone season to test the system. Throughout the project we will work with two key stakeholders in Madagascar: the Centre National de Recherches Océanographiques (CNRO) is a public institute focusing on Oceanographic Research, tasked with responding to Government needs in this area and Direction Generale de la Meteorologie (DGM) is the Madagascan Met Office, who provide a cyclone warning service. We will provide a training session on the operational system and adapt to their needs regarding forecast data products and the potential to continue the service beyond the project.
虽然海洋环境是世界各地不断发展的沿海社区的重要资源,但它也可能对这些社区的生命和生计造成重大危害,风暴及其引发的海浪会导致海浪大规模增加。低气压和大风共同造成的水位上升,导致沿海洪水、海岸侵蚀和盐分入侵,进而造成生命损失、财产破坏和农业土地退化。地势低洼的沿海社区。在许多地方,这些都是最贫穷和最脆弱的社区,通过向社区和紧急服务部门发出预警,提供准确和及时的海平面预报,可以大大有助于避免和减轻这种危险,就像天气预报一样。在该项目中,我们的目标是提供一种具有成本效益的风暴潮预报系统,该系统可以轻松部署到世界任何沿海地区,我们以 NERC 项目中开发的数值海洋建模能力为基础。其中包括过去十年的重点项目。陆架海生物地球化学、海洋-陆架运输以及 NERC 的国家海洋模拟能力计划,所有这些都需要开发高精度的陆架海模型,包括潮汐和风驱动的海平面变化的相关物理过程。我们将开发软件功能,将这些 NERC 项目中的建模方法转移到世界任何海域,并作为风暴潮预报模型运行,并采用简化的物理原理。这些将在欧洲西北部陆架海域和我们的示范区域进行测试。为了提供可靠的预报设置,我们将该系统转移到由 Microsoft 和 Amazon 等运营的云计算服务,允许用户租用 24 小时维护的计算机设施。 7、具有高可靠性并且可以复制,重要的是,它可以在世界任何地方访问,无需在合作伙伴组织的计算机上远程设置系统,一旦在云服务上设置,我们将运行试用。运营期间在整个项目中,我们将与马达加斯加的两个主要利益相关者合作:国家海洋学研究中心 (CNRO) 是一家专注于海洋学研究的公共机构,负责响应政府在该领域的需求。气象总局(DGM)是马达加斯加气象局,提供气旋警报服务,我们将提供有关操作系统的培训课程并适应他们的要求。有关预测数据产品的需求以及在项目之外继续提供服务的潜力。

项目成果

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Jason Holt其他文献

arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014
arcos 和 arcospy:用于访问 2006 年至 2014 年 DEA ARCOS 数据库的 R 和 Python 软件包
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Steven Rich;A. B. Tran;Aaron Williams;Jason Holt;Jeffery Sauer;Taylor M. Oshan
  • 通讯作者:
    Taylor M. Oshan
Multi-model comparison of trends and controls of near-bed oxygen concentration on the northwest European continental shelf under climate change
气候变化下西北欧洲大陆架近床氧浓度变化趋势及控制的多模型比较
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Giovanni Galli;S. Wakelin;J. Harle;Jason Holt;Y. Artioli
  • 通讯作者:
    Y. Artioli

Jason Holt的其他文献

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{{ truncateString('Jason Holt', 18)}}的其他基金

FOCUS: Future states Of the global Coastal ocean: Understanding for Solutions
焦点:全球沿海海洋的未来状态:了解解决方案
  • 批准号:
    NE/X006271/1
  • 财政年份:
    2022
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Coastal-Oceans in Global Climate Models: Assessment and Analysis (CONGA)
全球气候模型中的沿海海洋:评估和分析(CONGA)
  • 批准号:
    NE/V008552/1
  • 财政年份:
    2021
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Sources, impacts and solutions for plastics in South East Asia coastal environments
东南亚沿海环境中塑料的来源、影响和解决方案
  • 批准号:
    NE/V009591/1
  • 财政年份:
    2020
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Resolving Climate Impacts on shelf and CoastaL sea Ecosystems (ReCICLE)
解决气候对陆架和沿海海洋生态系统的影响 (ReCICLE)
  • 批准号:
    NE/M003477/2
  • 财政年份:
    2019
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas)
CAMPUS(结合自主观测和模型来预测和理解陆架海)
  • 批准号:
    NE/R006822/2
  • 财政年份:
    2019
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas)
CAMPUS(结合自主观测和模型来预测和理解陆架海)
  • 批准号:
    NE/R006822/1
  • 财政年份:
    2018
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Resolving Climate Impacts on shelf and CoastaL sea Ecosystems (ReCICLE)
解决气候对陆架和沿海海洋生态系统的影响 (ReCICLE)
  • 批准号:
    NE/M003477/1
  • 财政年份:
    2015
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Integration of improved understanding of ecosystem service regulation into ERSEM model system
将加深对生态系统服务调节的理解纳入 ERSEM 模型系统
  • 批准号:
    NE/L003147/1
  • 财政年份:
    2014
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Towards a Next generation Ocean Model in the Gung-Ho framework: 2D test cases (G-Ocean:2D)
在 Gung-Ho 框架中迈向下一代海洋模型:2D 测试用例 (G-Ocean:2D)
  • 批准号:
    NE/L012111/1
  • 财政年份:
    2014
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant
Integrative Modelling for Shelf Seas Biogeochemistry
陆架海生物地球化学综合模拟
  • 批准号:
    NE/K001698/1
  • 财政年份:
    2013
  • 资助金额:
    $ 12.91万
  • 项目类别:
    Research Grant

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大坝合作运营应对特大洪水,促进流域抗灾和可持续发展
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