Abstract
The satellite-derived atmospheric motions vectors (AMVs) are useful for weather analysis such as tropical low, wind shear, and jet location and data assimilation into numerical weather prediction model. The AMV's accuracy is sensitive to the various components like target selection approaches, height assignment (HA) methods and so on, which should be optimized and improved. AMVs are retrieved by identifying and tracking targets dynamically through the use of advanced pattern-matching techniques based on cross-correlation statistics. In tracking targets, the optimal target box size, grid size, satellite image time interval and target location decision method should be determined for detecting cloud structure. The pixel selection method for the representative cloudy radiance on HA is also investigated. The current operational algorithm uses 15% coldest pixel temperature for infrared and water vapor channels and the method would be modified through sensitivity tests for each channel. In addition, the correction method for cloud base height and its effects are validated.
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