數值天氣預報是以天氣演變的物理過程為主要研究對象，結合氣象學與計算機科學，已成為從事大氣科學研究工作者不可不知的知識，也相當程度的彌補了主觀預報的不足。
The course of Numerical Weather Prediction (NWP) focuses on understanding the physical processes of the atmosphere, combing the knowledge of meteorology and computer sciences. The process of NWP can help improve the subjective prediction.

本課程的目的為介紹數值天氣預報的基本概念、原理及各種不同種類數值模式特色、限制。課程內容將針對下列主題作系統性介紹：
The goal of this course is to introduce the basic concepts of NWP, its principles, and differences between numerical models.

1.數值天氣預報的簡介 Introduction of NWP
2.模式的架構與動力 The framework and dynamics of the model
3.雲與降水的參數化 Parameterization of clouds and precipitation
4.物理過程的參數化 Parameterization of physical processes
5.資料的處理與解讀 Post-process and interpolation of model outputs
6.資料同化 Data assimilation
7.大氣的可預報度與系集預報 The ensemble prediction
8.數值模式的現況與展望。 The current status and future projection of NWP