Collaborative Research: DRU--Warning Decisions in Extreme Weather Events: An Integrated Multi-Method Approach

合作研究：DRU--极端天气事件的预​​警决策：一种综合的多方法方法

• 批准号: 0729511
• 负责人: Jeffrey Lazo
• 金额: $ 33.09万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0729511&HistoricalAwards=false
• 关键词: Collaborative; Research; DRU; Warning; Decisions

Appropriate information distribution and sound decision making during weather emergencies are critical to saving lives, reducing injuries and protecting property. Several governmental and non-governmental organizations have placed a high priority on research to improve warning systems for extreme weather events. This project addresses these needs by developing an integrated understanding of warning systems and processes, with a focus on hurricanes in Miami, Florida and flash floods in Boulder, Colorado. The project will (1) address the role of uncertainty throughout the warning process, including information distribution and decision making; (2) develop an understanding of how scientific information is analyzed and transmitted through warning networks to diverse users; (3) identify the factors influencing organizational (e.g., media) and governmental decision making during extreme weather events; and (4) characterize public preferences for different attributes of forecast and warning information. The project uses a multidisciplinary approach to understanding weather warning systems, system components, and their interactions. Integrating information and research methods from meteorology, sociology, economics, decision science, and public policy analysis, the project will generate new understanding about decision making, risk, and uncertainty regarding extreme weather events. More specifically, the project will analyze how extreme weather warnings are communicated, obtained, interpreted, and used in decision making, as well as stakeholder perceptions of warning characteristics needed for sound decision making. The project will help improve extreme event weather warnings and potentially reduce related injuries, deaths, and property loss.

天气紧急情况期间适当的信息分配和明智的决策对于挽救生命，减少伤害和保护财产至关重要。 几个政府和非政府组织已将研究重点放在了改善极端天气事件的警告系统上。 该项目通过对警告系统和流程的综合了解来满足这些需求，重点是佛罗里达州迈阿密的飓风和科罗拉多州博尔德的山洪洪水。 该项目将（1）解决整个警告过程中不确定性的作用，包括信息分布和决策； （2）对如何通过警告网络分析和传输科学信息的理解； （3）确定在极端天气事件中影响组织（例如媒体）和政府决策的因素； （4）表征公众对预测和警告信息不同属性的偏好。 该项目使用多学科方法来了解天气警告系统，系统组件及其交互。 整合来自气象，社会学，经济学，决策科学和公共政策分析的信息和研究方法，该项目将对极端天气事件的决策，风险和不确定性产生新的了解。 更具体地说，该项目将分析如何在决策中传达，获得，解释和使用极端的天气警告，以及利益相关者对合理决策所需的警告特征的看法。 该项目将有助于改善极端事件的天气警告，并有可能减少相关伤害，死亡和财产损失。