印度第一次火星轨道飞行器(MOM)火星彩色相机(MCC)观测到的不同类型云的初步研究

J. Kalita, A. Guha
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引用次数: 0

摘要

在本工作中,我们分析了MCC在火星边缘和表面观测到的不同类型的云,并估计了与之相关的大气参数。我们的分析基于印度火星轨道飞行器上的火星彩色相机(MCC)在第44、45、48、49、50、51、179,187,190、191,466和474轨道上收集的数据。估计高空云的高度在40至76公里之间,水平扩散为400至1100公里。我们使用ARC-GIS来探测观测到高空云的区域。这些分离的云层被发现是由尘埃和水冰粒子形成的。MRO-MCS和MARCI证实,在高空云出现期间,很少有尘埃事件发生。背风波云图是在MY33和MY34期间拍摄的。估计李波云的波长在38至44公里之间,风速在54至64米/秒之间。捕获事件的气溶胶光学深度(AOD)随海拔高度的变化范围为:红色通道为0.6 ~ 2.4,蓝色通道为0.8 ~ 1.8。我们参考了全球环流模型(GCM)和MOLA-DEM来框定AOD的输出。MCC和MARCI-MGDM估算的风速廓线显示,强风在全球范围内环流,并通过与大气动力学相关的不同过程(即深层对流、地形抬升、热上升气流等)输入云的形成。在我们目前的研究中,我们试图估计与这些过程有关的参数,并试图将它们与观测到的事件联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initial investigation on different types of clouds observed by Mars Color Camera (MCC) from India's first Mars Orbiter Mission (MOM)
In the present work, we analyzed different types of clouds observed at the limb as well as over the surface of the red planet by MCC and estimated the atmospheric parameter associated with it. Our analysis based on the data collected by Mars Colour Camera (MCC) on board Indian Mars Orbiter Mission during orbit number 44,45,48,49, 50,51,179,187,190,191,466 and 474. Estimated height of the high altitude cloud varies from 40 to 76 km and horizontal spreading of 400 to 1100 km. We used ARC-GIS to detect the area over which the high altitude clouds are observed. These detached layers of clouds are found to be formed of Dust and water-ice particle. MRO-MCS and MARCI confirms few dust events during the appearance of the high altitude cloud. Lee-wave cloud images are captured during the MY33 and MY34. Estimated wavelength of the Lee wave cloud varies from 38 to 44 km while wind speed varies from 54 to 64 m/sec. Aerosol Optical Depth (AOD) as a function of altitude varies from 0.6 to 2.4 for red channel and 0.8 to 1.8 for blue channel for the captured events. We consulted Global Circulation Model (GCM) as well as MOLA-DEM to frame the AOD output. Estimated wind speed profile from MCC and MARCI-MGDM suggested the circulation of strong wind across the globe and delivered input to formation of clouds through different processes related to the atmosphere dynamics viz. Deep Convection, Orographic lift, Thermal updraft, etc. In our present study we tried to estimate the parameter related to these processes and tried to correlate them with the observed events.
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