2015-04-012024-05-16https://scholars.lib.ntu.edu.tw/handle/123456789/668238摘要：為改善氣象局作業模式的預報誤差，大氣模式之物理參數化的改善為目前全球氣象作業的首要任務，本期計畫透過重力波參數化及高解析度地形特徵參數於全球模式的調整及測試，探討大氣垂直動量通量於全球模式預報能力的影響，以期改善現行作業預報模式於大氣基本物理場（如風場、高度場及溫度場）之偏差，作為未來預報模式的使用及參考。<br> Abstract: In order to improve the forecasting error of operational model, the optimization for physical parameterization of global climate model is currently the primary task. The purpose of this object is to investigate the effects of gravity wave drag and topography parameters which are sensitive to forecasting ability of global climate model, and then to further reduce the biases of forecasted wind, geopotential height, and temperature fields by the Central Weather Bureau Global Model.物理參數化重力波參數化大氣垂直動量通量physical parameterizationgravity wave dragtopography parameters