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The Community Coordinated Modeling Center: Ionosphere-Thermosphere-Mesosphere Models, Applications and Services for Research, Forecasting and Analysis

The Community Coordinated Modeling Center: Ionosphere-Thermosphere-Mesosphere Models, Applications and Services for Research, Forecasting and Analysis
社区协调建模中心:电离层-热层-中间层模型、研究、预测和分析应用和服务
批准号:
1503389
负责人:
Ja Soon Shim
金额:
$100.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-15 至 2020-08-31

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中文摘要
翻译
社区协调建模中心(CCMC)成立于2000年,是一个跨部门合作伙伴关系,其目标是弥合科学与空间天气业务之间的差距,同时加强研究,支持下一代空间天气模型的开发,并向公众传播知识。CCMC的资产和服务包括:不断扩大的最先进模型收藏;独一无二的按需运行服务;用于研究、空间天气分析和预报的创新在线工具和系统。该项目将包括一系列活动,利用CCMC独特的、多方面的、多层次的实践教育机会。该项目将重点扩展和改进CCMC电离层-热层-中间层(ITM)模型的收集。将改进可视化和分析工具,并开发集成建模的新功能。该项目还将领导社区范围内的ATM模型验证活动,并对ITM模型能力进行公正的评估。所有这些活动将提高空间天气预报和预报的能力。CCMC将在其ITM模型套件中添加各种数据同化模型。新模型将包括AMIE模型(同化磁层-电离层电动力学)、SuperDARN(超级双极光雷达网络)全球制图方法、MEPS(多模式集合预测系统)、TRIPL-DA(德克萨斯可重构电离层-等离子层对数同化器)、UK- midas(英国多仪器数据系统)、IDA4D(电离层数据同化4维)、FUSION++(快速更新简单电离层)和LPIM(拉普拉塔电离层模型)。CCMC还将扩展数据同化模型中可摄取的数据源范围。新的数据流将包括来自NSF支持的ISR雷达的非相干散射雷达(ISR)电场数据。CCMC将提供随需运行的集成模拟服务,这将是评估ITM模式不确定性的宝贵工具。它将继续领导“贴片面板”驱动器交换工具的开发,这将允许用户交换ITM模型的高纬度电离层电动力学(IE)驱动器。驱动程序库将包括各种经验性的、基于物理的和数据同化的高纬度电位模式、穿透电场和极光粒子降水模型。驱动程序交换工具将用于研究IE驱动程序对ITM系统的影响。CCMC将继续领导社区范围内的模型验证工作,以解决对最先进的建模能力进行评估的需求,以指定和预测ITM系统。它将加强社区之间的协作,以规划ITM模型验证研究,包括为特定的应用程序选择度量格式,并处理量化ITM模型重现物理现象的能力的问题。CCMC将扩大验证活动,包括利用来自NSF高层大气设施和NSF立方体卫星计划的数据对CCMC托管的ITM模型进行验证。从模型模拟中获得的工具和数据将提供给研究界。
英文摘要
The Community Coordinated Modeling Center (CCMC) is an interagency partnership established in 2000, with the goal of bridging the gap between science and space weather operations while enhancing research, supporting development of next-generation space weather models, and disseminating knowledge to the public. CCMC assets and services include: an expanding collection of state-of-the-art models; one-of-a-kind runs-on-request service; innovative online tools and systems for research, space weather analysis and forecasting. This project will comprise a blend of activities that take advantage of unique, multi-faceted, and multi-layered opportunities for hands-on education at the CCMC. This project will focus on expanding and improving the CCMC collection of ionosphere-thermosphere-mesosphere (ITM) models. Improvements will be made in the visualization and analysis tools as well as developing new capabilities in ensemble modeling. The project will also lead community-wide ATM model validation activities and perform unbiased assessment of ITM model capabilities. All of these activities will lead to improved capabilities in space weather now-casting and forecasting.The CCMC will add a variety of data assimilation models to its suite of ITM models. New models will include the AMIE model (Assimilative Magnetosphere-Ionosphere Electrodynamics), the SuperDARN (Super Dual Auroral Radar Network) global mapping method, MEPS (Multimodel Ensemble Prediction System), TRIPL-DA (Texas Reconfigurable Ionosphere-Plasmasphere Logarithmic Assimilator), UK-MIDAS (UK Multi-Instrument Data System), IDA4D (Ionospheric Data Assimilation 4-Dimensional), FUSION++ (Fprward Updating Simple IONosphere) and the LPIM (La Plata Ionosphere Model). The CCMC will also expand the range of data sources available for ingestion in the data assimilation models. New data streams will include Incoherent Scatter Radar (ISR) electric field data from NSF supported ISR radars. The CCMC will offer Runs-on-Request service of ensemble simulations, which will be an invaluable tool for assessment of uncertainties in the ITM models. It will continue leading the development of "patch-panel" driver swapping tools, which will allow users to swap high-latitude ionospheric electrodynamics (IE) drivers of the ITM models. The library of drivers will include a variety of empirical, physics-based, and data assimilative models of the high latitude potential pattern, penetration electric field, and auroral particle precipitation. The driver-swapping tool will be utilized in studies of the effects of IE drivers on the ITM system. The CCMC will continue leading the community-wide model validation efforts to address the need for assessment of state-of-the-art modeling capabilities to specify and forecast the ITM system. It will enhance collaboration between communities for planning the ITM model validation studies, including selection of metrics formats for specific applications and tackling the problem of quantifying ITM model abilities to reproduce physical phenomena. The CCMC will expand validation activity to include the validation of the ITM models hosted at the CCMC utilizing data from the NSF upper atmosphere facilities and from the NSF CubeSats program. The tools and data derived from the model simulations will be made available to the research community.
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