中文摘要：

With the advances of 数字天气模拟和更新的减少的数据吸收骑车，表面观察数据吸收在数据吸收系统变得越来越重要。一个更好的数据吸收系统应该在表面层包含热力学的进程的限制，这广泛地被接受。在这份报纸，因此，一个新表面风观察操作员在全球、地区性的吸收预言 System_3D 变化(GRAPES_3D-Var ) 被利用，与在行星的边界层(PBL ) 的热力学的过程的限制。为了研究这新表面的能力，在吸收弯屈观察操作员并且预报，一系列实验被使用 GRAPES 模型操作。主要结果显示表面风观察操作员的这个新方法与 GRAPES 模型一起在预报上有积极影响。

英文摘要：

With the advances of numerical weather simulation and reduced data assimilation updating cycle, surface observation data assimilation becomes more and more important in data assimilation systems It is widely accepted that a better data assimilation system should contain the restriction of thermod~amic processes in the surface layer. Therefore, in this paper, a new surface wind observation operator is utilized in Global and Regional Assimilation PrEdiction System_3D-Variance （GRAPES_3D-Var）, with the restriction of thermodynamic process in the planetary boundary layer （PBL）. In order to research the ability of this new surface wind observation operator in assimilation and forecasting, a series of experiments are operated by using the GRAPES model. The main results indicate that this new method of surface wind observation operator has positive impact on the forecast with the GRAPES model.