2017-01-172024-05-16https://scholars.lib.ntu.edu.tw/handle/123456789/668240摘要：本計畫將持續進行中央氣象局全球預報模式物理參數化方案的改進，並對於模式對於熱帶季內震盪Madden-Julian Oscillation (MJO)對流現象的模擬，將利用DYNAMO 實驗的密集觀測資料進行診斷分析。物理參數化方案的改進將更新Tiedtke 與NSAS 積雲參數化方案，以及參考NCEP 模式的現行作業化版本的網格尺度雲物理參數化方案等。期待更新模式的物理參數化方案後，對於MJO 對流現象能有更好的掌握。<br> Abstract: This project will continue to improve the physical parameterization schemes in the CWBGFS model. For the simulations of convective systems within the Madden-Julian Oscillation (MJO), this project will continue to verify MJO simulation results using the intense observation data collected during the DYNAMO field campaign. The improvement of physical parameterization schemes includes the adoption of the updated Tiedke and NSAS cumuls schemes, as well as the grid-scale microphysical parameterization schemes currently used in the operational version of NCEP GFS model. Hopefully, the improvement of physical schemes in the CWBGFS model can lead to a better prediction of the MJO convective systems.熱帶季內震盪DYNAMO實驗CWBGFS模式RMM指數Madden-Julian OscillationDYNAMOCWBGFSThe Real-time Multivariate MJO