Investigations of Upper Atmospheric Properties on Venus - Global Structure and Comparative Planetology

了解行星大气中的物理过程对于全球了解行星大气是必不可少的，也是发展大气环流模式（GCM）和长期气候预测的基础。到目前为止，类地行星的大气层尚未完全了解。特别是金星的大气层重新成为调查的焦点后，发表了重大的，有时矛盾的结果，最近获得的航天器金星快车和先进的地面测量。这项建议的科学目标是研究金星高层大气动态和温度的时间和局部结构，重点是三项主要活动：（1）用红外接收器THIS和亚红外接收器测量多普勒风速和温度。这些观测将针对地球上的不同位置和不同的时间尺度，并将与风和使用不同的技术从其他组的温度观测。(2)重新分析通过各种技术检索的现有地面数据，并致力于数据分析的协调，以使结果具有可比性。(3)利用这一全面而独特的数据集得出金星高层大气动力学和温度全球行为的科学结论这将与全球环流模型的开发人员协调进行，并为未来必要的调查制定路线图。将来自各种地面技术的风速信息合并在一起是一种具有成本效益的方法，可以大大提高未来和现有数据的科学价值。

Knowledge about physical processes in planetary atmospheres is essential for their global understanding and the base for development of general circulation models (GCM) as well as for longterm climate predictions. To date, the atmospheres of the terrestrial planets are not yet fully understood. Especially the atmosphere of Venus returned into focus of investigations after publication of significant and sometimes contradictory results obtained recently by the spacecraft Venus Express and advanced ground-based measurements. The scientific goal of this proposal is to study the temporal and local structure of the dynamics and temperatures in the upper atmosphere of Venus focusing on three main activities: (1) Measurements of Doppler-wind velocities and temperatures with the infrared receiver THIS and the sub-millimeter telescope Nanten2 The observations will address various locations on the planet and different time scales and will be coordinated with wind and temperatures observations from other groups using different techniques. (2) Re-analyzing existing ground-based data retrieved by various techniques and working on a harmonization of the data analysis to make the results comparable Though space-based data are not our main perspective data from VEX will be included if available. (3) Drawing scientific conclusions with this comprehensive and unique dataset for the global behavior of the dynamics and temperature in Venus upper atmosphere This will be done in coordination with developers of global circulation models as well as working out a road map for necessary future investigations. Merging information on wind velocities from various ground-based techniques is a cost-efficient approach to significantly increase the scientific value of future and already existing data.