Collaborative Research: Space Weather: Creation of a Real Time Ionospheric Electrodynamics Forecasting Model

该合作提案的重点是创建和验证基于社区的实时和回顾性高纬度电离层电动力学规范和预测工具。在其核心，该工具将具有电离层电动力学（AMIE）技术的同化映射。该模型将提前60分钟预测高纬度电离层的电动力学状态。此外，pi将通过一个简单的图形用户界面向社区提供代码，这将允许社区成员为他们的活动运行AMIE。该预测模型的建立将通过定量研究磁层和电离层的状态如何依赖于当前状态和外部驱动条件，从而对许多非稳态磁层过程（如基底和风暴）提供基本的见解。PI将对AMIE和rtAMIE进行定量验证。验证将给出AMIE上电离层电势和电导的每个网格点的平均误差估计。这些误差估计将是以下因素的函数：(1)位置，(2)数据密度，(3)活动水平，(4)季节。这种定量验证将允许代码的用户完全理解结果的准确性。没有其他电势模型具有这种能力，尽管它对电离层和磁层现象的研究至关重要。

ATM-0077555RidleyThis collaborative proposal focuses on the creation and validation of a community based real-time and retrospective high-latitude ionospheric electrodynamics specification and forecasting tool. At it's core, the tool will have the assimilative mapping of ionospheric electrodynamics (AMIE) technique. The model will make predictions of the eletrodynamic state of the high-latitude ionosphere for up to 60 minutes ahead of time. In addition, the PIs will make the code available to the community through a simple graphical user interface which will allow community members to run AMIE for their campaigns.The creation of the predictive model will give fundamental insight into many non-steady-state magnetospheric processes, such as substroms and storms by allowing a quantitative examination of how the state of the magnetosphere and ionosphere are dependent both on the current state and the external driving conditions.The PI's will perform a quantitative validation of AMIE and rtAMIE. The validation will give average error estimates for each grid point on AMIE for the ionospheric potential and conductances. These error estimates will be functions of: (1) location, (2) data density, (3) activity level, and (4)season. This quantitative validation will allow users of the code to fully understand the accurarcy of the results. No other electric potential model has this capability, even though it is crucially important for studies of ionospheric and magnetospheric phenomena.