Chung-Chieh Wang ( 王重傑 ) Department of Earth Sciences, National Taiwan Normal University 29 February 年科技部計畫研究成果發表會 次領域未來規劃討論 天氣動力次領域

2 Research Outlook from Discussion in 2015  TTFRI 及跨單位合作，陸續建立資料庫（含防火牆）、觀測 儀器 / 設施 / 平台、計算資源，以服務學界  當前突破性議題包括：颱風、豪雨，及其與氣候 / 大尺度 的連結  應持續進行颱風 reconnanssance 之飛機觀測，以及配合衛 星、雷達觀測技術之發展  學界應積極進行大氣人才培育，滿足氣象局、颱洪中心等 作業研發單位之人力需求

3 International Trend  研究重點放在災害性天氣，結合模式與觀測技術  模式部份 基礎研究 : 著重物理機制之改進 預報研究與作業 : 注重資料同化技術  結合衛星與雷達資料  NASA: Suomi National Polar-orbiting Partnership (NPP)  FORMOSAT-7 (Taiwan-USA, scheduled for 2017/2018)  Japan Himawari-8 Satellite, more channels with higher spatial and temporal resolution  Multi-parameter Doppler radars, cloud radar, UAV  Model completeness, cloud microphysics, air-sea interaction, air-land interaction, data assimilation

4 Discussion Conclusions in 2016  Observations Cloud radar  Observe cloud evolution before and after precipitation  Fill data gap between lidar (pre-development) and Doppler radar (with rainfall), but need data accumulation  Targeted by TTFRI for acquisition in TEAM-R mobile Doppler radar  Have accumulated several years of data for use in research  Can adjust mission and scanning strategy according to plan  Can apply and acquire data from NCU radar group website  Can provide some processing of data during case period for easy use through collaboration TTFRI Joint observation experiment: 2 radars, TEAM-R, UAV

5 Discussion Conclusions in 2016 (cont.)  Observations SCS-YMC Winter Olympic in South Korea in 2018  Pretrial run in early 2017 (two months) and Forecast Demonstration Project (FDP) in 2018  Among an integrated array of observational platforms  Paid for (man power, transportation) by Korea Other equipment:  3-D scanning Doppler lidar

6 Discussion Conclusions in 2016 (cont.)  Modeling: Shortage in computational resources  Rapid growth in problem size of model simulations  Resource from NCHC may not meet some special needs (cycling runs, real-time runs, long wait time, job saturation)  An increasing problem for most PIs Possible short-term solution  Allocate some resource in NCHC, or through TTFRI, to serve the PIs with special needs in computational resources  Establish a service project that needs both large storage and computing capacities (to tackle certain issues) Need to speak out to let our problems known