CEDAR: Whole-Atmosphere Modeling of Ionospheric Responses to Atmospheric Variability

这项调查的科学目标是评价低层大气动态对电离层电动力学和电子密度可变性的贡献。该研究解决了两个科学问题：1。在全大气模式中内部产生的风能在多大程度上解释观测到的安静日电离层电场和电流？模型观测的差异能给我们什么关于大气过程的信息？2.观测到的电离层电场、电流和电子密度的静日变化有多少可以归因于来自低层大气的可变风？全大气层群落气候模型是一个从地面到约500公里高度的大气动力学、化学、能量学和电动力学的数值模拟模型，将升级该模型，以逼真地模拟电离层动力学和电动力学，并计算电离层电流产生的地磁扰动。 模拟和观测到的电离层电场和电子密度以及地面和低地球轨道卫星高度的地磁扰动之间的比较将表明WACCM模拟电离层发电机区域风的能力。额外的模拟使用调整不确定WACCM参数化，以实现更好的模型数据的协议，将提供有关参数化过程的信息，特别是重力波的动量传输的影响。然后将分析WACCM的结果，以评估电场、电流和电离层密度的变化，这些变化与低层和中层大气中产生的大气潮汐和行星波的变化有关。将通过改变高纬度地区磁层电势的其他模拟，结合磁层电动效应对电离层造成的影响来评估这种可变性。 该研究将有助于WACCM的发展，这是一个探索和理解低层和高层大气之间耦合效应的社区模式。WACCM文件将扩大，以包括新的模型开发，WACCM的增强版将提供给科学界，供其他研究使用。本次调查中WACCM组件的开发也将用于改进研究小组正在合作的其他高层大气模型。

The scientific objective of this investigation is to evaluate the contribution of lower atmospheric dynamics to the variability of ionospheric electrodynamics and electron densities. The investigation addresses the two scientific questions:1. How well can winds generated internally in a whole-atmosphere model explain observed quiet-day ionospheric electric fields and currents? What information can model-observation discrepancies give us about atmospheric processes? 2. How much of the observed quiet-day variability of ionospheric electric fields, currents, and electron densities can be attributed to variable winds from the lower atmosphere?The Whole Atmosphere Community Climate Model (WACCM), a numerical simulation model of atmospheric dynamics, chemistry, energetics, and electrodynamics from the ground to about 500 km altitude, will be upgraded to simulate ionospheric dynamics and electrodynamics realistically, and to calculate geomagnetic perturbations produced by ionospheric electric currents. Comparisons between simulated and observed ionospheric electric fields and electron densities, as well as geomagnetic perturbations on the ground and at low-Earth-orbit satellite altitudes, will indicate how well WACCM can simulate winds in the ionospheric dynamo region. Additional simulations using adjustments to uncertain WACCM parameterizations, to achieve improved model-data agreement, will provide information about the parameterized processes, especially the effects of momentum transport by gravity waves. The WACCM results will then be analyzed to evaluate the variability of electric fields, currents, and ionospheric densities associated with variability in atmospheric tides and planetary waves produced in the lower and middle atmosphere. This variability will be assessed in relation to that caused by magnetospheric electrodynamic effects on the ionosphere, through additional simulations that vary the magnetospheric electric potential imposed at high latitudes. The investigation will contribute to the development of WACCM, a community model for exploring and understanding effects of coupling between the lower and upper atmosphere. The WACCM documentation will be expanded to include the new model developments, and the enhanced version of WACCM will be made available to the scientific community for use in other studies. The developments of WACCM components in this investigation will also be used to improve other upper-atmosphere models on which the research team are collaborating.