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A Net-Centric System of Services Model for the Integrated Earth Observation System (IEOS) and the Integrated Ocean Observing System (IOOS)

机译:以地球为中心的综合地球观测系统(IEOS)和综合海洋观测系统(IOOS)服务模型

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This paper considers an evolved technique for significantly enhanced enterprise-level data processing, reprocessing, archival, dissemination, and utilization. There is today a robust working paradigm established with the Advanced Weather Interactive Processing System (AWIPS)—NOAA/NWS's information integration and fusion capability. This process model extends vertically, and seamlessly, from environmental sensing through the direct delivery of societal benefit. NWS, via AWIPS, is the primary source of weather forecast and warning information in the nation. AWIPS is the tested and proven "the nerve center of operations" at all 122 NWS Weather Forecast Offices (WFOs) and 13 River Forecast Centers (RFCs). However, additional line organizations whose role in satisfying NOAA's five mission goals (ecosystems, climate, weather & water, commerce & transportation, and mission support) in multiple program areas might be facilitated through utilization of AWIPS-like functionalities, including the National Marine Fisheries Service (NMFS); National Environmental Satellite, Data, and Information Service (NESDIS); Office of Oceanic & Atmospheric Research (OAR); and the National Ocean Service (NOS). In addition to NOAA's mission goals, there are nine diverse, recommended, and important societal benefit areas in the US Integrated Earth Observation System (IEOS). This paper shows how the satisfaction of this suite of goals and benefit areas can be optimized by leveraging several key ingredients: (1) the evolution of AWIPS towards a net-centric system of services concept of operations; (2) infusion of technologies and concepts from pathfinder systems; (3) the development of new observing systems targeted at deliberate, and not just serendipitous, societal benefit; and (4) the diverse, nested local, regional, national, and international scales of the different benefits and goal areas, and their interoperability and interplay across the system of systems.
机译:本文考虑了一种用于显着增强企业级数据处理,重新处理,归档,分发和利用的演进技术。如今,通过高级天气交互式处理系统(AWIPS)建立了强大的工作范式-NOAA / NWS的信息集成和融合功能。该过程模型从环境感知一直到直接提供社会利益,都在垂直,无缝地扩展。通过AWIPS,NWS是该国天气预报和预警信息的主要来源。 AWIPS是所有122个NWS天气预报办公室(WFO)和13个河流预报中心(RFC)都经过测试和证明的“行动的神经中枢”。但是,可以通过利用类似于AWIPS的功能(包括国家海洋渔业)来促进在多个计划领域中实现NOAA五个任务目标(生态系统,气候,天气和水,商业与运输以及任务支持)的其他组织。服务(NMFS);国家环境卫星,数据和信息服务(NESDIS);海洋与大气研究办公室(OAR);和国家海洋局(NOS)。除了NOAA的任务目标外,美国综合地球观测系统(IEOS)中还有9个不同的,推荐的和重要的社会福利领域。本文展示了如何通过利用以下几个关键要素来优化这套目标和收益领域的满意度:(1)AWIPS向以网络为中心的服务运营概念的演进; (2)从探路者系统中注入技术和概念; (3)开发新的观测系统,该系统的目标是蓄意而不是偶然的社会利益; (4)不同利益和目标领域的不同,嵌套的本地,区域,国家和国际规模,以及它们在系统中的互操作性和相互作用。

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