For many businesses, the weather is a strong driver of performance. Here, we introduce two assessment tools for organisations wanting to identify these links, so that they may subsequently be used to predict future changes. By combining data collected by businesses with historical weather data, the assessment tools use a set of pre‐defined statistical analysis methods to quantify their particular sensitivities. This analysis is fast and flexible, to facilitate the ease of incorporation of meteorological effects into the corporate decision‐making process. The weather sensitivity analysis conducted includes both correlation and regression analysis and weather pattern analysis, providing results suitable for subsequent operational application within a real‐time forecast system. A demonstration is provided for bike hire data collected under the Santander Cycles scheme, published by Transport for London, wherein it is shown that 74% of the variability in the journeys undertaken may be explained by a simple statistical model involving only two weather variables (temperature and rainfall).

中文翻译：

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使用天气敏感性分析来预测业务绩效

对于许多企业而言，天气是业绩的重要推动力。在这里，我们为想要识别这些链接的组织引入了两种评估工具，以便随后可以将它们用于预测未来的变化。通过将企业收集的数据与历史天气数据结合起来，评估工具使用了一组预定义的统计分析方法来量化其特殊的敏感性。这种分析是快速而灵活的，以简化将气象影响纳入公司决策过程的过程。进行的天气敏感性分析包括相关性和回归分析以及天气模式分析，从而提供适合于实时预测系统中后续操作应用的结果。