WORKSHOP: Model-Data Integration and Network Design for Biogeochemical Research: An NCAR-CSU Summer School

研讨会：生物地球化学研究的模型数据集成和网络设计：NCAR-CSU 暑期学校

• 批准号: 0220877
• 负责人: Kathy Hibbard
• 金额: $ 2.5万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0220877&HistoricalAwards=false
• 关键词: WORKSHOP; Model; Data; Integration; Network

ABSTRACTGlobal biogeochemical research must increasingly address the problems of "detection" or quantification of changing fluxes to the atmosphere, and "attribution" or explanation of those fluxes in terms of specific mechanisms. Today, neither our measurement nor analysis capabilities are sufficient to meet the twin challenges of biogeochemical detection and attribution with sufficient accuracy and resolution. We propose a summer school to advance both analysis techniques (inverse and assimilation modeling) and observing system design. The Summer School will involves lectures from a broad and distinguished group of scientists on the biogeochemical cycles, current and planned measurement capability, process and data analytical modeling, and new approaches in applied math. It will have as its centerpiece a hands-on simulation exercise. Estimates of global terrestrial and oceanic fluxes will be produced from existing data and models, combined to produce flux fields with reasonable time-space variability. They will be distributed in a global simulated atmosphere using an atmospheric transport model, run at the maximum achievable resolution to produce a 4-D data set of concentrations. The participants will form competing teams to reconstruct surface fluxes. Each team will choose a measurement strategy and obtain data corresponding to that strategy by querying a referee. Each measurement will have a price and each team will have an identical budget in dollars to fund its observing program. Each team will have access to the same models. An adjoint carbon model is being developed at NCAR using the NASA DAO model in assimilation mode. The model will be available for the participants to use in network design, and to demonstrate concepts and application of data assimilation in biogeochemistry. The teams may choose any strategy they wish to estimate the real fluxes. The conclusions from the workshop will be summarized in a report and a series of articles on 1) design of the exercise and implications for observing system design, 2) a review of data assimilation approaches for biogeochemical cycle research, 3) possibilities for use of the simulation exercise in education. In the year following the workshop, we will make the psuedodata bases and analysis tools available and improve them to better meet the research needs of the biogeochemical research community.

摘要 全球生物地球化学研究必须越来越多地解决大气变化通量的“检测”或量化问题，以及根据具体机制对这些通量进行“归因”或解释的问题。如今，我们的测量和分析能力都不足以以足够的精度和分辨率应对生物地球化学检测和归因的双重挑战。我们提议举办一所暑期学校来推进分析技术（逆向和同化建模）和观测系统设计。暑期学校将包括来自广泛而杰出的科学家小组的讲座，内容涉及生物地球化学循环、当前和计划的测量能力、过程和数据分析模型以及应用数学的新方法。它将以动手模拟练习作为其核心。全球陆地和海洋通量的估计将根据现有数据和模型进行，结合起来产生具有合理时空变化的通量场。它们将使用大气传输模型分布在全球模拟大气中，并以可实现的最大分辨率运行，以生成浓度的 4 维数据集。参与者将组成竞争团队来重建表面通量。每个团队将选择一种测量策略，并通过询问裁判来获取与该策略相对应的数据。每次测量都会有一个价格，每个团队都会有相同的美元预算来资助其观测计划。每个团队都可以访问相同的模型。 NCAR 正在同化模式下使用 NASA DAO 模型开发伴随碳模型。该模型将可供参与者用于网络设计，并展示生物地球化学中数据同化的概念和应用。团队可以选择他们希望估计真实通量的任何策略。研讨会的结论将总结在一份报告和一系列文章中，内容涉及：1）练习的设计和对观测系统设计的影响，2）生物地球化学循环研究的数据同化方法的回顾，3）在教育中使用模拟练习的可能性。研讨会后的一年，我们将提供伪数据库和分析工具，并对其进行改进，以更好地满足生物地球化学研究界的研究需求。