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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.

该项目提供了直接对 ESA/RosCosmos 痕量气体轨道器 (TGO) 数据进行新颖分析的机会，该轨道器将于 2016 年发射。相同的技术将用于分析 NASA 火星勘测轨道器上的火星气候探测仪 (MCS) 最近和正在进行的火星大气观测。 MCS 提供现有的数据源，确保无论 TGO 任务的状态如何，从项目一开始就可以获得一些数据。许多 MCS 数据尚未得到充分分析，通过此分析应该可以获得新的结果。首席主管是 MCS 和 TGO 上 NOMAD 仪器的联合研究员，联合主管是 NOMAD 的联合首席研究员。这确保了两个团队的直接联系。该项目将采用英国多年来开发的火星大气全球循环模型。它将利用一种称为数据同化的技术，将观测结果与模型相结合，以实现对大气状态的一致的、随时间变化的估计。人们的注意力将集中在大气中的灰尘不透明性上，因为灰尘是火星气候系统的重要且可变的组成部分。灰尘被大气提升和输送，反过来又吸收使大气变暖的辐射。将测试并准备将尘埃观测与大气模型相结合的计划，以便将来与 NOMAD 和 TGO 上的其他仪器一起使用。同时，该方案将被验证并用于分析MCS数据。该项目将为改进已在使用的数据同化技术提供空间，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了解。