Analysis of new atmospheric dust observations from Mars using global circulation model

使用全球环流模型分析火星新的大气尘埃观测结果

基本信息

批准号：
1809332
负责人：
金额：
--
依托单位：
The Open University
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1809332
关键词：
Analysis new atmospheric dust observations

项目摘要

This project provides the opportunity to work directly on preparing a novel analysis of data from the ESA/RosCosmos Trace Gas Orbiter (TGO), due for launch in 2016. The same techniques will be used in the analysis of recent and ongoing observations of the Martian atmosphere from the Mars Climate Sounder (MCS) aboard NASA Mars Reconnaissance Orbiter. MCS provides an existing source of data, ensuring that some will be available from the start of the project, whatever the state of the TGO mission. Much MCS data has not yet been fully analysed and new results should be obtainable with this analysis. The lead supervisor is a Co-Investigator on both MCS and the NOMAD instrument aboard TGO and the co-supervisor is a Co-Principal Investigator on NOMAD. This ensures direct contact with both teams.The project will employ a global circulation model of the Martian atmosphere, developed over many years in the UK. It will make use of a technique called data assimilation, the combination of observations with the model to achieve a consistent, time-evolving estimate of the atmospheric state. Attention will be focussed on the dust opacity of the atmosphere, since dust is a vital and variable component of the Martian climate system. Dust is both lifted and transported by the atmosphere and, in turn, absorbs radiation warming the atmosphere. A scheme to combine dust observations with the atmospheric model will be tested and prepared for future use with NOMAD and other instruments aboard TGO. At the same time, the scheme will be validated and used to analyse MCS data. The project will allow scope for improving the data assimilation technique already in use, or focussing on the extraction of scientific analyses from existing data and improving our knowledge of the Martian climate cycle.

该项目提供了直接研究从2016年推出的ESA/Roscosmos Trace Gas Orbiter（TGO）的数据分析的新颖分析的机会。将在分析Mars气候声音（MCS）NASA NASA MARS MARS RECONANCENASSANCESCANCE ORBITER的最新和正在进行的火星气氛中的最新和正在进行的火星大气的分析中使用相同的技术。 MCS提供了现有的数据来源，以确保从项目开始，无论TGO任务的状态如何。许多MCS数据尚未得到充分分析，此分析应获得新的结果。首席主管是MCS的共同投资者，也是TGO上的Nomad工具，共同服务员是Nomad的联合竞选者调查员。这确保了与这两个团队的直接联系。该项目将采用在英国多年来发展的火星氛围的全球流通模型。它将利用一种称为数据同化的技术，即观测值与模型的组合，以实现对大气状态的一致，随时间不断发展的估计。由于灰尘是火星气候系统的重要组成部分，因此注意力将集中在大气的尘埃不透明上。灰尘既被大气升起和运输，然后吸收辐射加热大气。将测试并准备将灰尘观测与大气模型结合在一起的计划，供将来与TGO上的Nomad和其他仪器一起使用。同时，将验证该方案并用于分析MCS数据。该项目将允许范围改善已经使用的数据同化技术，或者集中于从现有数据中提取科学分析并提高我们对火星气候周期的了解。