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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Seasonal Variations and GlobalWave Distributions in the Mars Thermosphere From MAVEN and Multisatellites Accelerometer-Derived Mass Densities
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Seasonal Variations and GlobalWave Distributions in the Mars Thermosphere From MAVEN and Multisatellites Accelerometer-Derived Mass Densities

机译:季节性变化和GlobalWave分布在火星从MAVEN和热大气层多卫星Accelerometer-Derived质量密度

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摘要

Martian lower thermospheric variations are complex due to internal surface dust storms and external solar activities. However, limited Martian measurement data are restricted to observe and understand its variations in the past. In this paper, multisatellite accelerometer-derived densities and the Mars Climate Database are used to investigate seasonal variations, gravity waves, and coupling effects with the internal and external inputs, including Mars Global Surveyor, Mars Reconnaissance Orbiter, Mars Odyssey, and Mars Atmosphere and Volatile EvolutioN Mission. The diurnal and seasonal structures are reconstructed by the data, and the phase of the cycles is formed by solar heating/ionizing processes. Both amplitude and phase are impacted by surface dust activities during autumn and winter, for which density increases about 1.5-3.5 times compared to spring and summer seasons. A parameterized model that includes a newly introduced dust index is proposed to well fit and reinterpret the seasonal cycles. Furthermore, the coupling process between internal atmospheric gravity waves (IAGWs) and dust activities are investigated and explained. During dust storm times/seasons, the IAGWs exhibit both narrower amplitude peaks and deposit their energy at higher altitudes relative to "clear sky" times. The IAGWs could extend their energies into higher layers beyond exobase due to a thermospheric layer expansion (i.e., density increase) during dust seasons.
机译:火星低thermospheric变化是复杂的由于内部表面沙尘暴和外部太阳活动。测量数据是观察和限制了解其变化在过去。纸,多卫星accelerometer-derived使用密度和火星气候数据库调查的季节性变化,重力波,与内部耦合的影响外部输入,包括火星环球探测器,火星侦察轨道火星奥德赛,and火星大气与挥发物的演化任务。昼夜和季节结构数据重建的阶段周期是由太阳能加热/电离流程。通过表面灰尘在秋天和活动冬天,密度增加约1.5 - -3.5倍相比,春天和夏天季节。参数化模型,包括一个新介绍了指数提出了适合和灰尘重新诠释季节性周期。内部大气之间的耦合过程重力波活动(IAGWs)和灰尘调查和解释道。次/季节,IAGWs展览两个窄振幅峰值和储蓄能量高海拔相对于“天空”。IAGWs可以扩展他们的能量转化为更高的层范围内由于thermospheric之外层扩张(即密度增加)尘埃的季节。

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