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

GSTDTAP

项目编号	1503389
	The Community Coordinated Modeling Center: Ionosphere-Thermosphere-Mesosphere Models, Applications and Services for Research, Forecasting and Analysis
	Ja Soon Shim
主持机构	Catholic University of America
项目开始年	2015
	2015-09-15
项目结束日期	2020-08-31
资助机构	US-NSF
项目类别	Continuing grant
项目经费	200000(USD)
国家	美国
语种	英语
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.
来源学科分类	Geosciences - Atmospheric and Geospace Sciences
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/68832
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Ja Soon Shim.The Community Coordinated Modeling Center: Ionosphere-Thermosphere-Mesosphere Models, Applications and Services for Research, Forecasting and Analysis.2015.