Grand Challenges of the Future for Environmental Modeling, May 2006, Tucson, Arizona

环境建模未来的重大挑战，2006 年 5 月，亚利桑那州图森

• 批准号: 0630367
• 负责人: M. Bruce Beck
• 金额: --
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0630367&HistoricalAwards=false
• 关键词: Grand; Challenges; Future; Environmental; Modeling

0630367 BeckComputer-based modeling activities are critically important to the success of NSF's proposed environmental observatories (EOs). Models provide the ability to analyze and synthesize large and diverse databases and thus provide increased understanding of behavior of large, complex environmental systems. In this sense, models serve as important components of decision support systems. A major goal of the EOs is to enable the forecasting of future conditions and system behavior, and computer-based models are the only reasonable means to achieve this ability. Models are used widely in science to evaluate the adequacy of existing information and conversely to define information gaps, and models will be used in the EOs to determine what kinds of information needs to be gathered to answer specific science questions. Given the complexity of the field facilities (e.g., networks of sensors) and high costs of deploying such systems, EO planners also expect to use models to evaluate in the optimal geographic distribution of these facilities. In short, modeling will be a pervasive activity in the EOs. The observatories are being designed to transform the ways scientists and engineers conduct research on large, complex systems. New kinds of models and modeling approaches are needed to take advantage of the cyberinfrastructure and collaboratories that the observatories will employ. New types of models also will be needed to address the complex questions that the observatories will be studying.There are many common elements to the challenge of developing appropriate modeling tools and platforms among the EOs. This workshop, which will be held in Tucson, Arizona in May 2006, is a first step in building collaborations among scientists and engineers from the EO communities to address these common issues in a more efficient manner than each EO community could achieve working separately. The workshop will bring together model developers and model users from the following NSF EOs: NEON and LTER, CLEANER and CUAHSI (Hydrologic Observatories), which comprise the WATERS Network, and OOI. These individuals respectively represent the fields of ecology, environmental engineering, hydrology, and ocean sciences.

0630367 BeckComputer为基础的建模活动是至关重要的成功NSF的建议环境观测站（EO）。模型提供了分析和综合大型和多样化数据库的能力，从而提供了对大型复杂环境系统行为的更多理解。从这个意义上说，模型是决策支持系统的重要组成部分。EOs的一个主要目标是能够预测未来的条件和系统行为，基于计算机的模型是实现这种能力的唯一合理手段。模型在科学中被广泛用于评估现有信息的充分性，反过来也用于确定信息差距，模型将在EO中用于确定需要收集哪些信息来回答特定的科学问题。鉴于现场设施的复杂性（例如，传感器网络）和部署此类系统的高成本，EO规划人员还希望使用模型来评估这些设施的最佳地理分布。简而言之，建模将是EO中普遍存在的活动。天文台的设计目的是改变科学家和工程师对大型复杂系统进行研究的方式。需要新的模型和建模方法来利用观测站将采用的网络基础设施和协作站。还需要新类型的模型来解决观测站将要研究的复杂问题。在开发适当的建模工具和平台的挑战中，有许多共同的要素。该讲习班将于2006年5月在亚利桑那州图森市举行，这是在来自地球观测组织的科学家和工程师之间建立合作关系的第一步，以便以比每个地球观测组织单独工作更有效的方式解决这些共同问题。该研讨会将汇集来自以下NSF EO的模型开发人员和模型用户：氖和LTER、CLEANER和CUAHSI（水文观测站），它们组成了沃茨网络和OOI。这些人分别代表生态学、环境工程、水文学和海洋科学领域。