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原文传递 Investigation of the Longitudinal Dependence of Ionospheric Density Distribution and its Driving Mechanisms.

题名：	Investigation of the Longitudinal Dependence of Ionospheric Density Distribution and its Driving Mechanisms.
作者：	Yizengaw, E.; Groves, K.
关键词：	Ionosphere, Measurement, Electrodynamics, Gravity waves, Amber, Equatorial electrodynamics, Lsws(large scale wave structure), Longitudinal variability, Density irregularity
摘要：	This proposal seeks funding to renew the successful AFOSR funded AMBER project and investigate the day-to-day and longitudinal dependence of the electrodynamics that causes the formation and longitudinal variability of the equatorial ionospheric irregularities, including the bottom side Large Scale Wave Structure (LSWS). This proposed study will combine equatorial electrodynamic information estimated from ground-based magnetometers, ionosondes, radar, from instruments onboard LEO satellites with the global density irregularity distribution as a function of local time both from the ground and space-based observations, as well as with the Fabry-perot interferometer (FPI) neutral wind observations to better understand and examine the morphology and dynamics of the low-to-mid-latitude ionosphere structure. The main objective of this proposal is to address the following fundamental science questions that are strongly needed to improve the existing models and thus our communication and navigation systems, primarily for the over the horizon (OTH) communication. These questions are: (1) What causes the longitudinal differences of the vertical drift? (2) What controls the formation of longitudinal variability of density irregularities? (3) What causes such strong discrete post-midnight bubbles? (4) Is the bottom side LSWS always an indicator for the formation of bubbles?(5) Is the dayside EEJ responsible for the formation of bottom side LSWS? (6) Is the dayside equatorial electrojet (EEJ) magnitude the primary controlling mechanism for the magnitude and direction of the dusk sector pre-reversal enhancement (PRE) drifts that has been proposed and verified by model run data? These fundamental questions will be addressed through the combined data analysis from ground- and space-based multi-instruments observations. The outcome of this research will play a vital role toward the effort of developing a global, predictive and weather dependent density model so that we will
报告类型：	科技报告