TIMED/CEDAR: Support for the Development of a Sequential Estimator for Global Wind Mapping

研究人员将开发用于全球风制图的卡尔曼滤波技术。卡尔曼滤波使用统计和顺序估计从异步卫星测量产生每日网格天气映射。全球每日天气图能够客观地确定空间波传播和行星尺度特征的每日变化。天气场很容易用于传统的经时傅立叶分析，并且便于同化到数值模型中。由于天气场图易于解释，已被科学界广泛用于研究对流层和平流层动力学。然而，传统的卡尔曼滤波方法需要行星尺度的地球物理统计，这在很大程度上是未知的中间层和低层热层风。本研究的主要目的是从现有的低层热层风数据集中确定这些未知的统计数据。研究结果将用于支持CEDAR/TIMED科学目标。雪松，代表大气区域的耦合、能量学和动力学，是一个将理论建模与地面测量相结合来研究高层大气和电离层的全球变化项目。TIMED，即热层、电离层、中间层能量学和动力学，是美国宇航局研究大气类似区域的卫星项目。联合CEDAR/TIMED计划旨在协调地基和天基观测，以更好地了解低层热层和电离层的物理过程。

ATM9813765absThe investigators will develop a Kalman filtering technique for global wind mapping. Kalman filtering uses statistics and sequential estimation to produce daily gridded synoptic mappings from asynchronous satellite measurements. Global daily synoptic mappings enable objective determination of spatial wave propagation and day-to-day variability of planetary scale features. Synoptic fields lend themselves easily to conventional longitude-time Fourier analysis and are convenient for assimilation into numerical models. Because of their ease of interpretation, mapped synoptic fields have been widely used by the scientific community investigating tropospheric and stratospheric dynamics. However, the Kalman filtering approach traditionally requires the prescription of planetary-scale geophysical statistics, which are largely unknown for mesospheric and lower thermospheric winds. The main objective of this study is to determine these unknown statistics from an existing lower thermospheric wind data set. The results will be used to support CEDAR/TIMED science goals. CEDAR, which stands for Coupling, Energetics, and Dynamics of Atmospheric Regions, is a global change program that combines theoretical modeling with ground-based measurements to study the upper atmosphere and ionosphere. TIMED, for Thermosphere, Ionosphere, Mesosphere Energetics and Dynamics, is a NASA satellite program to study similar regions of the atmosphere. The joint CEDAR/TIMED program aims to coordinate ground-based and space-based observations to achieve better understanding of physical processes in the lower thermosphere and ionosphere.