Uncertainty Assessments of Flood Inundation Impacts: Using spatial climate change scenarios to drive ensembles of distributed models for extremes

英国的探索性气候变化研究表明，极端事件的频率和相关的洪水风险可能会增加。鉴于在目前的气候条件下，洪水每年造成的损失超过10亿英镑，气候变化对洪水风险管理产生了重大影响。为了评估这些后果，水文和洪水淹没模型被迫与大气模型的降水预测的范围内的温室气体排放情景，以产生未来的洪水预测。然而，这些基于模型的输入降水场的有效性和不确定性是关键问题，因为它们可能构成水文和水力建模模糊性的主要来源。此外，不确定性与水文和洪水模型本身有关，例如模型能够代表主要的物理过程，并能够唯一地确定影响未来预测的有效模型因素（参数和任何其他模型变量）。由于所有模型组成部分的非线性相互作用将影响与水文影响评估有关的总体不确定性，因此需要对这些因素进行全面评估。因此，一个关键的和令人兴奋的挑战是描述和量化的起源和传播的不确定性，从气候到水文洪水淹没模型。该项目旨在开发一种新的整体建模方法。我们的重点区域将是塞文河流域，因为对当前和未来洪水风险的担忧。具体而言，我们将：（1）通过分析两种对比方法产生的降水场，量化与气候变化水文影响评估相关的“高端”不确定性，并评估这些不确定性如何影响洪水和淹没预测的性质（2）以完全耦合和动态的方式评估洪水淹没预测级联模型框架之间和内部的所有不确定性（3）使用新的不确定性分析技术，包括全局敏感性分析和新的高效功能相似性采样方法，以有效评估建模级联中的不确定性。(4)评估未来100年内塞文河流域可能发生的洪水灾害变化，以应对各种气候、土地利用和土壤水分情况。该项目将提供一种有见地的科学方法，可用于未来的研究评估，并将英国科学推向令人兴奋的、具有社会和政治重要性的国际研究领域的前沿。

Exploratory climate change studies for the UK indicate that an increase in the frequency of extreme events and associated flood risk is likely. Given that floods cause damage of over £1bn per year under present climatic conditions, climate change bears significant consequences for flood risk management. In order to evaluate these consequences, hydrological and flood inundation models are forced with projections of precipitation from atmospheric models for a range of Greenhouse gas emission scenarios to produce future flood predictions. However the validity and uncertainty of these model-based input precipitation fields are of key concern, as they potentially constitute a major source of ambiguity for hydrological and hydraulic modelling. Additionally, uncertainty is associated with the hydrological and inundation models themselves, such as for example the models ability to represent the dominating physical processes and to uniquely identify effective model factors (parameters and any other model variables) that will shape future forecasts. As the non-linear interaction of all model components will influence the total uncertainty associated with hydrological impact assessments these need to be comprehensively assessed. Therefore, a key and exciting challenge is to describe and quantify the origin and propagation of uncertainty from climate to hydrological to flood inundation models. This project aims to develop a novel holistic modelling approach for doing this. Our region of focus will be the River Severn catchment because of concerns about current and future flood risk. Specifically we will: (1) Quantify the 'top-end' uncertainties associated with climate change hydrological impact assessments by analyzing precipitation fields produced by two contrasting methods and assess how these affect the nature of flood and inundation predictions (2) Evaluate all uncertainties between and within a cascade modeling framework for flood inundation predictions in a fully coupled and dynamic way (3) Use novel techniques of uncertainty analysis including global sensitivity analysis and a new efficient functional similarity sampling approach to enable an effective evaluation of the uncertainties in the modeling cascade. (4) Assess the likely flood hazard change for the River Severn catchment over the next 100 years for various climate, landuse and soil moisture scenarios This project will deliver an insightful scientific methodology which can be used in future research assessments and catapult UK science to the forefront of an exciting, socially, and politically important international research area.