Space Weather: On the Quantification of Energy Sources and Sinks in the Thermosphere Ionosphere Plasmasphere System

空间天气：关于热层、电离层、等离子体层系统中能量源和汇的量化

• 批准号: 0318563
• 负责人: Mihail Codrescu
• 金额: $ 23.11万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0318563&HistoricalAwards=false
• 关键词: Space; Weather; Quantification; Energy; Sources

In this effort, the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics (CTIPe) model, originally developed for use on supercomputers, will be implemented in the desktop computer environment for broader use at the Community Coordinated Modeling Center (CCMC) at NASA Goddard Space Flight Center. The PIs will reassess and modify the current model to achieve improved accuracy. The proposers plan a three-step approach to quantifying the energy sources and sinks that affect the outputs of the CTIPe model. The first step will reproduce the global steady-state thermosphere and ionosphere derived from the MSIS and IRI models by self-consistently adjusting the energy sources and sinks in the CTIPe model (e.g. UV and EUV heating, NO cooling, Joule heating, etc.). The intention is to systematically adjust the appropriate energy sources and sinks in CTIPe in order to reproduce the global structure of the empirically modeled thermosphere and ionosphere. The second step will compare steady-state CTIPe model runs against climatology data from the TIMED mission for further adjustment of the energy sources and sinks. The third step will compare the model, with appropriate sources and sinks, to TIMED and ground based data.

在这项工作中，最初为在超级计算机上使用而开发的热层电离层等离子体电动力学耦合模型将在台式计算机环境中实施，以便在美国宇航局戈达德空间飞行中心的社区协调建模中心更广泛地使用。私人投资促进机构将重新评估和修改目前的模型，以实现更高的准确性。提出者计划分三步对影响CTIPE模型产出的能源源和汇进行量化。第一步将通过自我一致地调整CTIPe模型中的能源和汇(例如，UV和EUV加热、无制冷、焦耳加热等)，再现从MSIS和IRI模型得出的全球稳态热层和电离层。其目的是系统地调整CTIPE的适当能源和汇，以便重现经验性模拟的热层和电离层的全球结构。第二步将把稳态CTIPe模型运行与定时任务的气候学数据进行比较，以进一步调整能源来源和汇。第三步将把该模型与定时数据和地面数据进行比较，其中包括适当的源和汇。