Shaping the Development of EarthCube to Enable Advances in Data Assimilation and Ensemble Prediction Workshop; Boulder, Colorado; December 17-18, 2012

智力优势：数据密集型科学已经迅速成为继经验、理论和计算方法之后的第四种科学发现范式。 在数据同化和集合预报领域尤其如此。然而，由于科学界缺乏易于使用的共同网络基础设施框架，在有效利用数据或将其纳入数据同化或集合预测系统方面存在重大障碍。 据估计，研究人员可能会花费80%的时间来处理数据发现、访问和处理，只有20%的时间通过解释、综合和知识创造来“做科学”。美国国家科学基金会的EarthCube计划的目标是通过支持社区指导的网络基础设施的发展来改变研究行为。EarthCube是由不同的科学团体塑造的，也使其受益，这一点至关重要。该项目将资助一个研讨会，将研究，教育和信息技术团体聚集在一起，讨论与分布式但共享的中尺度建模，数据同化和集合预报有关的一些科学，技术和网络基础设施问题。计划于2012年12月17日至18日在科罗拉多州博尔德举行的讲习班的标题是“塑造EarthCube的发展，以促进数据同化和环绕预测。研讨会的目标之一是塑造EarthCube的发展，帮助建立网络基础设施，并努力建立一个科学生态系统，减少“数据摩擦”，显着提高数据透明度和易用性。 我们相信，实现研讨会的目标将有助于中尺度集合预报和数据同化社区努力实现以数据为中心的研究和教育的转型。 为此，我们希望组建一个来自全国各地的团队，开发一个多机构、多模式、多数据同化的区域尺度集合预报和分析系统，该系统能够进行实时预报和历史再分析。 预计研讨会的与会者将来自美国。S.广泛的影响：在美国，迫切需要教育和培训下一代学生进行中尺度建模、数据同化、集合和概率预报。该讲习班将吸引学生在上述三个研究领域从事职业。据设想，计划中的数据同化和集合预报系统的产品将很容易为广大的大学研究人员、学生和教育工作者所利用，以探索大气的动力学和物理学，并教育下一代学生获得先进的数值天气预报专题的知识和专长。 实时集合预报系统可作为业务预报员的补充工具，特别是在恶劣天气和热带气旋的概率预报方面。 最后，该讲习班将有助于在集合预报和数据同化的研究人员和用户群体中进行能力建设，并将促进进一步的协作努力，以推进中尺度气象学研究。

Intellectual Merit: Data intensive science has rapidly emerged as the Fourth Paradigm of scientific discovery after empirical, theoretical, and computational methods. This is particularly true in the area of data assimilation and ensemble prediction. Yet, significant barriers exist in using the data efficiently or integrating them into data assimilation or ensemble prediction systems as the scientific community lacks easy-to-use common cyberinfrastructure frameworks. By some estimates, researchers may spend 80 percent of their time dealing with data discovery, access, and processing, and only 20 percent "doing science" by way of interpretation, synthesis, and knowledge creation.The goal of the National Science Foundation's EarthCube initiative is to transform the conduct of research by supporting the development of community-guided cyberinfrastructure. It is critical that EarthCube is both shaped by as well as benefits the different scientific communities to which it is targeted.This project will fund a workshop to bring the research, education, and information technology communities together to discuss some of the science, technology and cyberinfrastructure issues related to distributed but shared mesoscale modeling, data assimilation, and ensemble prediction. The title of the workshop, which is planned to be held 17-18 December 2012 in Boulder, CO, is "Shaping the Development of EarthCube to Enable Advances in Data Assimilation and Ensemble Prediction."One of the goals of the workshop is to shape the development of EarthCube and help in building a cyberinfrastructure and work toward a scientific ecosystem in which "data friction" is reduced, and data transparency and ease-of-use are significantly increased. We believe achieving the workshop goals will help mesoscale ensemble prediction and data assimilation communities to work toward a transformation in the conduct of data-centric research and education. To that end, we would like to assemble a team from across the country to develop a multi-institutional, multi-model, multi-data-assimilation regional scale ensemble prediction and analysis system that is capable of real-time forecasts, as well as historical reanalysis. It is anticipated that workshop participants will come from U. S. universities, NCAR and UCAR, NOAA, NSF, and other research organizations.Broad Impacts: There is an urgent need for educating and training the next generation of students in mesoscale modeling, data assimilation, ensemble and probabilistic forecasting in the United States. The workshop will engage students pursuing careers in the aforementioned three areas of research. It is envisioned that the products from the planned data assimilation and ensemble prediction systems will be readily accessed by a broad community of university researchers, students and educators for exploring dynamics, physics of the atmosphere, as well as for educating the next generation of students to gain knowledge and expertise in advanced numerical weather prediction topics. The real-time ensemble prediction system can be used as a complementary tool by operational forecasters, especially in terms of probabilistic forecasting of severe weather and tropical cyclones. Finally, this workshop will help build capacity among the community of researchers and users of ensemble prediction and data assimilation and will foster further collaborative efforts to advance research in mesoscale meteorology.