Completion of the NEON Cyber Infrastructure Construction-Ready Design

NEON公司获得了一笔拨款，用于完成国家生态观测站网络（NEON）最终设计的网络基础设施部分。NEON是一个大陆研究平台，将我们对生物圈的理解扩展到区域和大陆尺度。NEON将会是一个共享的？现场部署的仪器塔和传感器阵列的研究平台、哨兵测量、遥感能力、自然历史档案以及数据分析、建模、可视化和预测设施，所有这些都联网到一个网络基础设施骨干上。本请求支持的活动包括：(1)制作详细设计，作为要求的一部分，为NEON设施的建设做好准备；(2)通过传感器和网络基础设施原型的现场实施测试和验证设计组件。拟议的工作将定义所需的参数，以确保准确和精确的测量，目标是获得对科学需求的完整、清晰、彻底和充分记录的理解，作为开发CI和运营支持架构需求的全面描述的基础。该项目将在施工前识别并解决潜在的关键问题，以最大限度地减少在实施或运营开始期间或之后更改设计所需的时间和材料成本。数据产品、测量、传感器之间关系的复杂性，以及从大挑战问题到研究需求的流动，将通过复杂的分析和与NEON科学人员、CI团队、运营人员以及外部科学、工程合作者、设备和软件供应商的高度合作来记录。

NEON, Inc. is awarded a grant to finalize the cyberinfrastructure component of the final design for the National Ecological Observatory Network (NEON). NEON is a continental research platform that will extend our understanding of the biosphere to regional and continental scales. NEON will be a ?shared-use? research platform of field deployed instrumented towers and sensor arrays, sentinel measurements, remote sensing capabilities, natural history archives, and facilities for data analysis, modeling, visualization, and forecasting, all networked onto a cyberinfrastructure backbone. Activities supported under this request are to (1) produce a detailed design as part of the requirements to establish readiness for construction of the NEON facility and (2) test and validate the design components with field implementations of sensors and cyberinfrastructure prototypes. The proposed work will define the parameters required to assure accurate and precise measurements with the goal of gaining a complete, clear, thorough and well-documented understanding of the science requirements as the foundation for developing a comprehensive description of the needs for the CI and operational support architectures. The project will seek to identify and address potential critical issues well before construction to minimize the costs in time and materials associated with any necessity of changing the design during or after the commencement of implementation or operations. The complexity of the relationships between data products, measurements, sensors, and the flow-down from Grand Challenge questions to research requirements will be documented with sophisticated analysis and a high degree of collaboration with NEON scientific staff, the CI team, operations staff as well as external scientific, engineering collaborators and equipment and software vendors.