Diurnal Variations of Water Ice in the Martian Atmosphere Observed by Mars Climate Sounder

Diurnal Variations of Water Ice in the Martian Atmosphere Observed by Mars Climate Sounder
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DOI:
10.3390/rs14092235
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发表时间:
2022-05
期刊:
Remote. Sens.
影响因子:
--
通讯作者:
Zhaopeng Wu;Tao Li;Jing Li;Chengyun Yang;J. Cui
Zhaopeng Wu;Tao Li;Jing Li;Chengyun Yang;J. Cui
中科院分区:
其他
文献类型:
--
作者:
Zhaopeng Wu;Tao Li;Jing Li;Chengyun Yang;J. Cui

文献摘要

相似文献

模拟研究表明,水冰云对火星大气和气候有显著的热效应。然而,之前的研究更多地关注季节性变化,而较少关注短期变化。在这项工作中,我们利用MCS多地时资料研究了火星上水冰的日变化。将潮汐拟合法应用于水冰丰度,量化了其随幅度和位相的日变化。此外,我们还发现了热潮与远日点期间水冰日变化的密切相关(反相位关系),这种关系对背景水冰和沙尘不透明度都不敏感,但随着潮汐幅度的增大而增大。在近日点季节,反位相关系对受沙尘暴活动影响的水冰和沙尘不透明度比较敏感。统计结果表明,火星大气中普遍存在的水冰日变化存在一个低的日潮汐幅值阈值(2~3K)来产生相应的水冰日变化。这些新的观测结果可以帮助进一步了解火星大气中冰和水蒸气之间的相变过程,并在未来更好地约束火星全球气候模型。
Simulation studies have proposed a significant thermal effect of water ice clouds on the Martian atmosphere and climate. However, previous studies focused more on seasonal variations but less on short-term changes. In this work, we used the MCS multi-local time data to investigate the water ice diurnal variations on Mars. We quantified its diurnal variations with amplitude and phase by applying the tidal fitting method to the water ice abundance. In addition, we found a close correlation (antiphase relation) between the thermal tide and water ice diurnal variations during the aphelion seasons that was not sensitive to both the background water ice and dust opacity but increased with the tidal amplitude. In the perihelion seasons, the antiphase relation was sensitive to the water ice and dust opacity, both affected by the dust storm activity. Finally, the statistic results suggested an unexpected low threshold of diurnal tide amplitude (2 to 3 K) for generating a relevant water ice diurnal variation, accounting for the ubiquitous water ice diurnal variations in the Martian atmosphere. These new observational results can help further understand the phase transition process between ice and vapor in the Martian atmosphere and better constrain the Martian global climate model in the future.