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Facilitating Stochastic Simulation for UK Climate Resilience

Facilitating Stochastic Simulation for UK Climate Resilience
促进英国气候适应能力的随机模拟
批准号:
NE/W007037/1
负责人:
Hayley Jane Fowler
金额:
$8.99万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

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中文摘要
翻译
天气生成器是一种工具,它基于包含随机性的统计方法来模拟现实的气候模式序列。这意味着它们可以被描述为“随机的”,即它们可以产生降水、温度和其他空间和时间变量的各种可能模式(或实现)。这是一个非常有用的能力,因为天气是高度可变的,我们需要为不同序列和类型的极端事件做好准备。天气发生器是建立气候适应能力的重要工具,因为它们弥合了气候模型和应用之间的差距。气候模型运行缓慢,因此只有有限数量的未来气候可用,特别是在使用高分辨率模型时。天气生成器的速度要快得多,因此提供了一种更好地对气候变异性和极端情况进行采样的手段,同时也将模型预测的尺度缩小到与当地相关的尺度。然而,从业人员很难在许多现实项目中充分利用天气发生器,例如评估不断变化的洪水风险。尽管天气发生器具有先进的能力,但在其接受、可用性、灵活性、性能和功能方面仍然存在重大问题。此外,没有标准化的工具将最先进的英国气候模型预测(UKCP 18)纳入天气发生器模拟。因此,该项目将寻求促进天气发生器在气候适应性应用中的更广泛使用。通过与JBA Consulting的行业领先专家合作,该项目将开发开放式软件工具,以加快领先天气发生器的设置,应用和分析,包括基于尖端UKCP18预测的未来场景。在泰晤士河流域的一个实际案例研究项目中进行的评价、范围界定和原型制作活动将提高对工具局限性的理解,并确定可能的改进,同时也促进跨部门的知识交流。涉及一系列外部参与者的项目研讨会将增强英国气候适应力社区的影响和传播。
英文摘要
Weather generators are tools that simulate realistic sequences of climate patterns based on statistical methods incorporating randomness. This means that they can be described as "stochastic", i.e. they can generate a wide range of possible patterns (or realisations) of precipitation, temperature and other variables in space and time. This is a very useful capability, given that weather is highly variable and we need to be prepared for different sequences and types of extreme events.Weather generators are a vital tool for building climate resilience, as they bridge the gap between climate models and applications. Climate models are slow to run, such that only a limited number of realisations of future climates are available, especially when using high resolution models. Weather generators are much faster and so offer a means of better sampling climate variability and extremes, while also downscaling model projections to locally relevant scales. However, it is difficult for practitioners to make the best use of weather generators in many real-world projects, such as assessments of changing flood risks. Substantial issues remain in the acceptance, usability, flexibility, performance and functionality of weather generators, despite their advanced capabilities. In addition, there are no standardised tools for incorporating state-of-the-art UK climate model projections (UKCP18) into weather generator simulations.This project will therefore seek to facilitate wider use of weather generators in climate resilience applications. By working with industry-leading experts at JBA Consulting, the project will develop open software tools to expedite the setup, application and analysis of a leading weather generator, including in future scenarios based on cutting-edge UKCP18 projections. Evaluation, scoping and prototyping exercises in a live case study project of the Thames basin will improve understanding of tool limitations and identify potential improvements, while also facilitating knowledge exchange across sectors. Project workshops involving a range of external participants will enhance impact and dissemination amongst the wider UK climate resilience community.
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Assessment of connections between atmospheric planetary waves and extreme rainfall events
  • 批准号:
    NE/V020595/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.38万
  • 财政年份:
    2021
  • 负责人:
    Hayley Jane Fowler
  • 依托单位:
PYRAMID: Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources
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    2020
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    Hayley Jane Fowler
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STORMY-WEATHER: Plausible storm hazards in a future climate
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    NE/V004166/1
  • 项目类别:
    Research Grant
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    2020
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FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage
  • 批准号:
    NE/S017348/1
  • 项目类别:
    Research Grant
  • 资助金额:
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  • 财政年份:
    2019
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  • 依托单位:
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究