本計畫目的為進行臺灣地區閃電分布特徵研究與其可能災害預警之研究。研究方向為延續過去研究中所累積之颱風周遭閃電分布特徵研究成果，將特別聚焦於台灣地區及周遭海域洋面之閃電分布特徵研究。主要的研究資料為使用長達15年CG閃電為主的WWLLN全球閃電資料庫，也將同時使用新世代具有IC及CG全閃電偵測系統的TTLN資料庫來進行研究。預期透過這些資料的使用將可替台灣地區閃電相關研究提出更深入的探討與瞭解。此外研究也規劃使用全閃電資料來研究閃電躍升的現象，並運用於強對流相關性及災害預警等研究。 因此本計畫將提出三大主軸的三年期的研究規劃(2020/08/01-2023/07/31)，首先為使用15年之WWLLN資料庫來研究臺灣地區閃電分布氣候特徵，除了分析閃電發生的季節性與日夜差異外，也會探討台灣陸地與周圍海洋的閃電活動差異；另外則將研究南海地區與海洋大陸地區其閃電分布的氣候特徵及其物理機制探討；最後則為閃電躍升對劇烈降水之相關及預警研究，將使用TTLN的全閃電資料並試著結合其他雷達觀測資料來發展相關災害預警系統。
The purpose of this project is to study the characteristics of lightning distribution in Taiwan and its possible disaster warning. The research aim is to continue the research results of the lightning distribution characteristics of tropical cyclones reported in previous studies, and will focus on the investigation of lightning distribution characteristics of the Taiwan area and the surrounding ocean surface. The main research data is the WWLLN global lightning database based on CG lightning for up to 15 years. The new generation TTLN database with IC and CG total lightning detection systems will also be used for research. It is expected that the use of these data will provide a more in-depth discussion and understanding of lightning-related research in Taiwan. In addition, this project also plans to use the total lightning data to study the phenomenon of lightning jump and study its relationships with deep convection and lead-time of disaster occurrence. Therefore, this project will propose a three-year research plan for three major issues (2020/08/01-2023/07/31). The first is to use the 15-year WWLLN dataset to study the characteristics of lightning distribution in Taiwan. In addition to the seasonal and diurnal variations in lightning occurrences, the differences in lightning activity between Taiwan's land and surrounding oceans will also be explored. In addition, the climate characteristics and physical mechanisms of lightning distribution in the South China Sea and the Maritime Continent will be studied. Finally, the relationship of lightning jump and severe precipitation as well as the lead-time of disaster occurrence will be investigated by using the TTLN total lightning dataset, and the related disaster warning systems will be built by combing other radar observations.
