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Multi-scale Temporal and Spatial Plasma Perturbations during the March 26th, 2014 substorm: GITM Simulations Driven by SuperDARN High-Resolution Convection Pattern

Yu
Hong
University of Texas at Arlington
Abstract text

Multi-scale plasma density perturbations play a crucial role in ionosphere-thermosphere (I-T) system dynamics, especially during geomagnetic storms. However, their spatial and temporal characteristics remain underexplored due to the limitations in both high-resolution observations and corresponding accurate forcing specification in simulations. Recent advancements enable the derivation of regional high-resolution ion convection patterns from Super Dual Auroral Radar Network (SuperDARN). Building on Cheng et al. (2022), the Global Ionosphere-Thermosphere Model (GITM) driven by these high-resolution patterns will be utilized to simulate the multi-scale I-T responses during the March 26th, 2014 substorm event. For comparisons, GITM simulations will also be conducted using large-scale statistical ion convection patterns from a statistical model and smoothed high-resolution SuperDARN ion convection patterns. To highlight the significance of multi-satellite configurations in I-T system observations, we will fly various virtual satellite constellations, including single-satellite, two-satellite, box-type configuration and a string-of-pearl configuration—within GITM simulation domain. These simulations will evaluate the temporal and spatial characteristics captured by different satellite constellations across various ion convection drivers, evaluating their effectiveness in resolving multi-scale plasma structures under varying geomagnetic conditions. Additionally, the optimal separation distance for accurately sampling both ionospheric and thermospheric species will be examined. Our findings offer valuable insights into multi-scale plasma density perturbations and contribute to the refinement of the NASA’s Geospace Dynamics Constellation (GDC) and DYNAMIC satellite constellation configurations.

Authors
Yu Hong, University of Texas at Arlington, Arlington, Texas, USA
Cheng Sheng, University of Texas at Arlington, Arlington, Texas, USA
Yue Deng, University of Texas at Arlington, Arlington, Texas, USA
William A. Bristow, Pennsylvania State University, University Park, PA, USA
Yukitoshi Nishimura, Boston University, Boston, MA, USA
Student not in poster competition
Poster category
DATA - Data Assimilation, Data Analytics, Methods and Management