Information Technology Research (ITR): Linked Environments for Atmospheric Discovery (LEAD)

信息技术研究 (ITR)：大气发现的关联环境 (LEAD)

• 批准号: 0331480
• 负责人: Beth Plale
• 金额: $ 190万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0331480&HistoricalAwards=false
• 关键词: Information; Technology; Research; ITR; Linked

Each year across the United States, floods, tornadoes, hail, strong winds, lightning, and winter storms cause hundreds of deaths and result in annual economic losses of more than $13B. Their mitigation is stifled by rigid information technology frameworks that cannot accommodate the unique real time, on-demand, and dynamically-adaptive needs of weather research.Linked Environments for Atmospheric Discovery (LEAD), the foundation of which is a series of interconnected virtual "Grid environments," allows scientists and students to access, prepare, predict, manage, analyze, and visualize a broad array of meteorological information independent of format and physical location. A transforming element of LEAD is the ability for analysis tools, forecast models, and data repositories to function as dynamically adaptive, on-demand systems that can change configuration rapidly and automatically in response to the evolving weather; respond immediately to user decisions based upon the weather problem at hand; and steer remote observing systems to optimize data collection and forecast/warning quality. LEAD will allow researchers, educators, and students to run atmospheric models and other tools in much more realistic, real time settings than is now possible, hasten the transition of research results to operations, and bring the pedagogical benefits of sophisticated atmospheric science tools into high school classrooms for the first time. Its capabilities will be integrated into dozens of universities and operational research centers that collectively reach 21,000 university students, 1800 faculty, and hundreds of operational practitioners.

每年在美国，洪水，龙卷风，冰雹，强风，闪电和冬季风暴会导致数百人死亡，并导致年度经济损失超过13B美元。 它们的缓解措施被僵化的信息技术框架所扼杀，这些框架无法适应天气研究的独特实时，按需和动态适应性的需求。大气发现的连接环境（LEAD），其基础是一系列相互联系的虚拟“网格环境”，使科学家和学生可以访问，预测，准备，管理，分析和分析，以范围的位置，进行范围内，并进行整体，以范围内进行范围，并将其视为范围内，并将其视为范围内，并将其视为范围内，并将其视为范围。 铅的转换元素是分析工具，预测模型和数据存储库的能力，可以充当动态自适应，按需系统，这些系统可以响应不断发展的天气，可以快速和自动地更改配置；立即根据手头的天气问题对用户决定做出回应；并引导远程观察系统以优化数据收集和预测/警告质量。领导者将使研究人员，教育工作者和学生能够在更现实，实时设置中运行大气模型和其他工具，而不是现在，将研究结果的过渡加速到运营，并首次将精致的大气科学工具的教学益处带入高中教室。 它的能力将融入数十个大学和运营研究中心，这些大学和运营研究中心共同吸引了21,000名大学生，1800名教职员工和数百名从业者。