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Major Growth in Some Business-Related Uses of Climate Information

机译:与企业相关的气候信息使用的大幅增长

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Uses of climate information have grown considerably in the past 15 years as a wide variety of weather-sensitive businesses sought to deal effectively with their financial losses and manage risks associated with various weather and climate conditions.Availability of both long-term quality climate data and new technologies has facilitated development of climate-related products by private-sector atmospheric scientists and decision makers. Weather derivatives, now widely used in the energy sector, allow companies to select a financially critical seasonal weather threshold, and, for a price paid to a provider, to obtain financial reparation if this threshold is exceeded. Another new product primarily used by the insurance industry is weather-risk models, which define the potential risks of severe-weather losses across a region where few historical insured loss data exist. Firms develop weather-risk models based on historical storm information combined with a target region's societal, economic, and physical conditions. Examples of the derivatives and weather-risk models and their uses are presented. Atmospheric scientists who want to participate in the development and use of these new risk-management products will need to broaden their educational experience and develop knowledge and skills in fields such as finance, geography, economics, statistics, and information technology.
机译:在过去的15年中,由于各种对天气敏感的企业寻求有效地处理其财务损失并管理与各种天气和气候条件有关的风险,因此气候信息的使用已大大增加。长期高质量的气候数据和新技术促进了私营部门大气科学家和决策者开发与气候有关的产品。天气衍生品现已广泛用于能源领域,它允许公司选择财务上至关重要的季节性天气阈值,并且如果支付给提供商的价格超过该阈值,则可以获得财务补偿。保险业主要使用的另一种新产品是天气风险模型,该模型定义了在几乎没有历史保险损失数据的区域中,严重天气损失的潜在风险。企业根据历史风暴信息并结合目标地区的社会,经济和自然条件,开发天气风险模型。给出了导数和天气风险模型及其用法的示例。希望参与这些新风险管理产品开发和使用的大气科学家将需要扩大他们的教育经验,并发展金融,地理,经济学,统计和信息技术等领域的知识和技能。

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