Space Weather: Sources of Ionospheric Variability: A Coordinated Data and Modeling Approach

建议进行一项为期两年的工作，利用最先进的物理模型和电离层观测大型数据库调查电离层变化的原因。 HAO/NCAR热层-电离层-中间层-电动力学环流模式（TIME-GCM）最近已与NCAR社区气候模式-第3版（CCM/3）耦合，以评估对流层-平流层输入对高层大气的影响。 合并的TIME-GCM/CCM 3的第一次长时间运行是365天，其特征是太阳通量恒定，极光和磁层输入固定。 这一模拟的结果提供了一个难得的机会，可以利用全球网络存档的现有电离层探测仪数据进行一系列验证研究。 此外，有机会获得峰值密度（NmF 2）以外的诊断参数，如热层密度、温度和风和电动漂移，提供了使用已知物理过程解释结果所需的信息。

A two-year effort is proposed to investigate the causes of ionospheric variability using a state-of-the-art physical model and a large database of ionospheric observations. The HAO/NCAR Thermosphere-Ionosphere-Mesosphere-Electrodynamic General Circulation Model (TIME-GCM) has recently been coupled to the NCAR Community Climate Model - Version 3 (CCM/3) to assess the influence of Tropospheric-Stratospheric input to the upper atmosphere. The first prolonged run of the merged TIME-GCM/CCM3 was for a 365 day period characterized by constant solar flux and fixed auroral and magnetospheric inputs. The output of this simulation offers an extraordinary opportunity to conduct a series of validation studies using existing ionosonde data from the archived global network. Moreover, the opportunity to access diagnostic parameters beyond the peak density (NmF2), such as thermospheric densities, temperatures and winds and electrodynamical drifts, provides the information needed to interpret the results using known physical processes.