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

ATM9813765abb研究人员将开发一种用于全球风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数据中生成每日栅格天气图。全球每日天气图能够客观地确定行星尺度特征的空间波传播和逐日变异性。天气场易适用于传统的经时傅立叶分析，也便于同化为数值模式。由于易于解释，绘制的天气场已被研究对流层和平流层动力学的科学界广泛使用。然而，卡尔曼滤波方法传统上需要行星尺度的地球物理统计数据，对于中间层和较低的热层风来说，这在很大程度上是未知的。这项研究的主要目的是从现有的低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雪松/定时科学目标。Cedar是大气区域耦合、能量和动力学的缩写，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计划。Timed是NASA的一个卫星项目，用于研究热层、电离层、中间层能量学和动力学，以研究类似的大气区域。Cedar/Timed联合方案旨在协调地面和空间观测，以更好地了解较低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.