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Identifying extreme event climate thresholds for greater Manchester, UK: Examining the past to prepare for the future

机译:确定英国大曼彻斯特的极端事件气候阈值:检查过去为未来做准备

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Extreme weather events can have severe consequences for the local environment and population. Projected future changes in climate (e.g. UKCP09) indicate that North West England is likely to experience an increasing frequency and intensity of meteorological extremes, leading to flooding, heat waves and storms. Consequently, it is important that the region enhances its preparedness for such events. This paper explores the possibility of developing quantifiable climate risk indices for the case study area of Greater Manchester, using a combination of archival research and statistical analysis of past climate data. For extremes which are the function of a single meteorological variable (e.g. heat waves, pluvial flooding and heavy snowfall) the thresholds proved to be reliable and skillful. Days with maximum daily temperature greater than or equal to 29.2 °C, daily snowfall amount greater than or equal to 6 cm or maximum gust speed greater than or equal to 60 knots are found to be indicative of weather-related impacts which have in the past affected human health/well-being, have caused damage to the urban infrastructure or have severely disrupted services. Extreme events which are the result of a more complex interaction between variables (e.g. drought, freezing conditions) were less well captured by applying the thresholds associated with a single variable in isolation. Such critical threshold indices can be used in conjunction with future projections of climate change to establish weather-related risk for the future. This risk-based approach can subsequently be integrated to climate change adaptation strategies and development planning to ensure future preparedness.
机译:极端天气事件可能会对当地环境和人口造成严重后果。预计未来的气候变化(例如UKCP09)表明,英格兰西北部的极端天气频率和强度可能会增加,从而导致洪水,热浪和暴风雨。因此,重要的是该地区应加强对此类事件的准备。本文结合档案研究和过去气候数据的统计分析,探讨了为大曼彻斯特案例研究区开发可量化的气候风险指数的可能性。对于由单个气象变量引起的极端情况(例如热浪,小洪水和大雪),阈值被证明是可靠且熟练的。发现日最高温度大于或等于29.2°C,日降雪量大于或等于6厘米或最大阵风速度大于或等于60节的日子可以指示过去与天气相关的影响影响人类健康/福祉,对城市基础设施造成破坏或严重破坏了服务。通过单独应用与单个变量关联的阈值,可以更好地捕获由于变量之间更复杂的交互作用(例如干旱,冰冻条件)而导致的极端事件。此类临界阈值指数可与气候变化的未来预测结合使用,以建立未来与天气相关的风险。随后,可以将这种基于风险的方法整合到气候变化适应战略和发展计划中,以确保未来的准备工作。

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