构建未来气候的设计天气数据

Sean Belcher, J. Hacker, D. Powell
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引用次数: 521

摘要

我们开发了一种方法,在这里被称为“变形”,为建筑热模拟产生设计天气数据,说明未来的气候变化。Morphing结合了目前观测到的天气数据和气候模式的结果。该程序产生的天气时间序列包含了未来气候情景的平均天气条件,同时保留了现实的天气序列。从这个意义上说,该方法将粗分辨率气候模式预测“降尺度”到建筑热模拟所需的精细时空分辨率。通过对英国的CIBSE设计天气年和气候变化情景的应用,说明了变形过程。根据天气序列转化为未来气候计算出的加热度日数与当前相比显著减少,其减少量与气候模式直接计算出的结果非常吻合。这一共识使人们相信变形技术能够忠实地变换天气序列。实际应用:科学界一致认为地球气候正在变暖。这种变暖将对英国的建筑服务产生影响,这是现在应该考虑的。本文描述了一种生成天气数据的方法,该数据具有对未来气候的最佳当前估计,可用于量化建筑物过热的风险。
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Constructing design weather data for future climates
We develop a method, here called ‘morphing’, to produce design weather data for building thermal simulations that accounts for future changes to climate. Morphing combines present-day observed weather data with results from climate models. The procedure yields weather time series that encapsulate the average weather conditions of future climate scenarios, whilst preserving realistic weather sequences. In this sense the method ‘downscales’ coarse resolution climate model predictions to the fine spatial and temporal resolutions required for building thermal simulations. The morphing procedure is illustrated by application to CIBSE design weather years and climate change scenarios for the UK. Heating degree days calculated from the weather series morphed to future climates show a marked reduction compared to present day, by an amount that agrees well with results calculated directly from the climate model. This agreement gives confidence that the morphing technique faithfully transforms the weather sequences. Practical application: There is overwhelming consensus amongst the scientific community that the Earth's climate is warming. This warming will have implications for building services in the UK that should be considered now. This article describes a method for producing weather data with best current estimates of future climate that can be used to quantify the risk of building overheating.
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