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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.

该项目提供了一个机会，可以直接对定于2016年发射的欧空局/RosCosmos痕量气体轨道器（TGO）的数据进行新的分析。同样的技术将用于分析美国航天局火星侦察轨道飞行器上的火星气候探测器最近和正在进行的火星大气观测。监控监系统提供了现有的数据来源，确保无论TGO使命的状态如何，从项目一开始就可以获得一些数据。许多监控监数据尚未得到充分分析，通过这一分析应可获得新的结果。首席主管是TGO上MCS和NOMAD仪器的共同研究者，共同主管是NOMAD的共同主要研究者。该项目将采用英国多年来开发的火星大气全球环流模型。它将利用一种称为数据同化的技术，将观测与模型相结合，以实现对大气状态的一致的、随时间变化的估计。注意力将集中在大气层的尘埃不透明度上，因为尘埃是火星气候系统的一个重要和可变的组成部分。尘埃被大气层抬升和输送，反过来又吸收辐射使大气层变暖。将对一个将联合收割机尘埃观测与大气模式相结合的方案进行测试，并为今后与NOMAD和TGO上的其他仪器一起使用做好准备。同时，该方案将得到验证，并用于分析MCS数据。该项目将允许改进已经使用的数据同化技术，或侧重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认识。