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目前,国内外大尺度天气预报数值模式已经取得很大成就,如在预报地面气旋系统的移动和发展等方面。然而,这些模式的铅直分辨率一般不高,通常不包括边界层的动力过程,因而,在预报海面风场上,数值天气预报模式还没有令人满意的效果。目前所用的边界层预报模式尽管具有较高的水平分辨率和垂直分辨率,但要求大量的计算和资料,很难用于日常业务预报;另一种边界层诊断模式,用到的风场数据是气象工作者从天气形势
At present, great numerical achievements have been made in large-scale numerical prediction models at home and abroad, such as forecasting the movement and development of the ground-based cyclone system. However, the vertical resolutions of these modes are generally not high and do not usually include the dynamic processes at the boundary layer. Therefore, the numerical weather forecasting model has not been satisfactory in predicting the sea surface wind field. The boundary layer forecasting model currently used, despite its high horizontal resolution and vertical resolution, requires a large amount of calculations and data and is difficult to be used for routine business forecasting. Another boundary layer diagnostic model, wind farm data Is the weather worker from the weather situation