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
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
中文摘要
社区协调建模中心(CCMC)是2000年建立的一个机构间伙伴关系,其目标是弥合科学与空间气象业务之间的差距,同时加强研究,支持开发下一代空间气象模型,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集合;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。该项目将侧重于扩大和改进CCMC收集的电离层-热层-中间层模型。将改进可视化和分析工具,并开发整体建模的新功能。该项目还将领导社区范围的ATM模型验证活动,并对ITM模型能力进行公正的评估。CCMC将在其ITM模型套件中增加各种数据同化模型。新车型将包括AMIE车型(同化磁层-电离层电动力学),(超双极光雷达网)全球制图方法(多模型包围预测系统)(得克萨斯可重构电离层-等离子体对数同化器)英国多仪器数据系统FUSION++(Fprward Updating Simple IONosphere)和LPIM(拉普拉塔电离层模型)。CCMC还将扩大数据同化模型中可用于摄取的数据源的范围。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将提供集合模拟的按需运行服务,这将是评估ITM模型中不确定性的宝贵工具。它将继续牵头开发“插线板”驱动程序交换工具,使用户能够交换ITM模型的高纬度电离层电动力学驱动程序。驱动程序库将包括高纬度电位模式、穿透电场和极光粒子降水的各种经验、物理基础和数据同化模型。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,以满足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合作,以规划ITM模型验证研究,包括为特定应用选择度量格式,并解决量化ITM模型再现物理现象能力的问题。CCMC将扩大验证活动,包括利用NSF高层大气设施和NSF CubeSats计划的数据验证CCMC托管的ITM模型。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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