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Major Growth in Some Business-Related Uses of Climate Information

机译:一些与业务相关的气候信息用途的主要增长

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摘要

Uses of climate information have grown considerably in the past 15 years as a wide variety of weathersensitivebusinesses sought to deal effectively with their financial losses and manage risks associated withvarious weather and climate conditions. Availability of both long-term quality climate data and new technologieshas facilitated development of climate-related products by private-sector atmospheric scientists anddecision makers. Weather derivatives, now widely used in the energy sector, allow companies to select a financiallycritical seasonal weather threshold, and, for a price paid to a provider, to obtain financial reparationif this threshold is exceeded. Another new product primarily used by the insurance industry is weather-riskmodels, which define the potential risks of severe-weather losses across a region where few historical insuredloss data exist. Firms develop weather-risk models based on historical storm information combined with atarget region’s societal, economic, and physical conditions. Examples of the derivatives and weather-riskmodels and their uses are presented. Atmospheric scientists who want to participate in the development anduse of these new risk-management products will need to broaden their educational experience and developknowledge 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相关的风险,因此气候信息的使用已大大增加。长期优质的气候数据和新技术的可获得性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关键的季节性天气阈值,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。公司根据历史风暴信息并结合目标地区的社会,经济和自然状况,开发天气风险模型。给出了导数和天气风险模型及其用途的示例。希望参与这些新风险管理产品的开发和使用的大气科学家将需要在金融,地理,经济学,统计学和信息技术等领域扩大他们的教育经验,发展知识和技能。

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