Workshop Support for Focused Technical Workshop on Improving Data Mobility & Management for International Climate Science

关于改善国际气候科学数据移动性和管理的重点技术研讨会(FTW For Climate Science)将促进气候科学家、气候数据管理者和网络基础设施工程师之间的积极对话，目标是启动更长期的关系建设。研讨会还希望为气候研究人员提供关于一套广泛、具体和立即有用的工具和资源的信息，以改善数据传输和管理。气候科学FTW由ESnet、Internet2、印第安纳大学(IU)、国家大气研究中心(NCAR)和国家海洋和大气管理局(NOAA)赞助，将于2014年7月在科罗拉多州博尔德的NOAA博尔德实验室举行。研讨会将汇集专家讨论气候科学数据管理方面的最新研究技术进展和研究技巧。这种形式的设计是为了鼓励生动、互动的讨论，目的是制定一套具体的下一步行动，以支持这一数据密集型科学界。来自多个机构和项目的主要利益相关者的参与为气候科学界提供了必要的知识、工具和合作伙伴，以随着数据规模的持续增长而改善数据传输性能。这有可能在对社会至关重要的科学领域产生广泛的影响。通过提高性能以匹配增加的数据规模，该社区的科学工作效率有望提高。该研讨会将利用现有的NSF支持的项目，包括与EarthCube的合作。

The Focused Technical Workshop on Improving Data Mobility & Management for International Climate Science (FTW for Climate Science) will enable an active dialogue between climate scientists, climate data managers, and cyberinfrastructure engineers with the goal of setting longer-term relationship building in motion. The workshop also hopes to provide climate researchers with information about a set of broad, concrete, and immediately useful tools and resources for improved data transport and management. The FTW on Climate Science is sponsored by ESnet, Internet2, Indiana University (IU), National Center for Atmospheric Research (NCAR), and National Oceanic and Atmospheric Administration (NOAA) and will be hosted at the NOAA Boulder Labs, in Boulder, Colorado, in July 2014.The workshop will bring together experts to discuss recent research technology advances and research techniques in data management for climate science. The format is being designed to encourage lively, interactive discussions with the goal of developing a set of tangible next steps for supporting this data-intensive science community. Participation key stakeholders from multiple agencies and programs provides the climate science community with the knowledge, tools, and partners necessary to improve data transfer performance as data scale continues to increase. This has the potential to have broad reaching effects in a science area that is critical to society. By increasing performance to match increased data scale, scientific productivity for this community is expected to increase. This workshop will leverage existing NSF supported projects, including work with EarthCube.