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  3. Sui, C.-H., et al., 2020: The South China Sea Two Islands Monsoon Experiment for studying convection and subseasonal to seasonal variability, Terr. Atmos. Ocean Sci., 31(2), 103–129, doi:10.3319/TAO.2019.11.29.02
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  5. Wang, C.-C., L.-S. Tseng, et al., 2020: How much of Typhoon Morakot’s extreme rainfall is attributable to anthropogenic climate change?, Int. J. Climatol., 39, 3454–3464, doi:10.1002/joc.6030

  1. The variations of rainfall characteristics related to ENSO warm episodes are studied, focusing on the areas of excessive winter rainfall over East Asia during the period of 1998 to 2012. The high-resolution TRMM 3B42 data are analyzed and show an El Nino-related northeast-southwest oriented band of positive rainfall anomaly over East Asia, which is set as the “area of interest” for subsequent analyses. Calculation of moist static energy budget based on reanalysis data displays a dominant contribution from the low-level horizontal advection of moist static energy into the area of interest, which is coincident with the presence of an anomalous anticyclone over the Philippines and South China Sea. Analyses of rainfall characteristics for the area of interest show that, except for the lightest rain, all rain rate spectrum exhibits increasing frequency during El Niño winters, and that the amount of percentage change magnifies with the rain rate.
  2. The temperature profiles from the Formosa Satellite Mission 3/Constellation Observing System for Meteorology, Ionosphere, and Climate (FORMOSAT-3/COSMIC) are used in this study. We first compose the 8 phases of the intraseasonal oscillations by using the ECMWF Re-Aanlysis Interim (ERA-Interim) via empirical orthogonal function (EOF) analysis. The spatial patterns of wind, outgoing longwave radiation (OLR) and temperature fields reveal that the positive temperature anomaly collocates with convection and vise versa which should be the response of convective latent heating. The primitive analysis of the temperature profiles from FORMOSAT-3/COSMIC is very different from that of ERA-Interm because the temperature from FORMOSAT-3/COSMIC does not consider water vapor. We will be using the temperature derived from wet atmosphere and analyze the apparent heat source to discuss the processes that form and maintain the temperature structure.
  3. The northeast–southwest tilting rain-band exists over western North Pacific–East Asian (WNP-EA) region all year round. Seasonal variation of rainfall characteristics for the rain-band is analyzed in this study. Following Chou et al. (2009), analyses are based on five seasonal periods in this region: the first and second wet season (wet seasons), spring and fall (transition seasons), and winter. In terms of rainfall frequency, there are more light rainfall events in winter and transition seasons, and more heavy rainfall events in wet seasons. The average rainfall intensity is stronger in wet seasons than in winter and transition seasons for all percentiles. The light rainfall events are associated with downward motion in winter, but with upward motion in other seasons. On the other hand, heavy rainfall events are associated with more moisture content and weaker ascents in wet seasons, but with less moisture and stronger ascents in winter and transition seasons.
  4. Lapse rate is commonly used to estimate atmospheric stability, but it does not include an impact of moisture. Here we would like to introduce the gross moist stability, which can be used to measure atmospheric stability in the tropical regions. The gross moist stability is a vertically integrated moist static energy weighted by the vertical velocity of a typical deep convection, which is affected by the low-level moisture effect and the cloud-top effect. The variation of the gross moist stability can be divided into three components, which are associated with moisture, temperature and cloud top. The 31-yr monthly NCEP R2 is used to estimate the gross moist stability, along with CMIP3 model simulations in four temporal scales, an annual mean, a seasonal cycle, an interannual variation and a long-term trend. In the annual mean, seasonal cycle and interannual variation, the cloud-top effect balances with the low-level moisture, while the dry-static-energy effect (lapse rate) is small.

名稱 開始日期 結束日期 委託單位 編號 參與身份別
準滯留性降水系統與氣候變遷—檢測與歸因 (III) 2021/08/01 2022/07/31 科技部(原國科會) MOST 110-2625-M-003-003 主持人
準滯留性降水系統與氣候變遷—檢測與歸因 (II) 2019/08/01 2022/07/31 科技部(原國科會) MOST 109-2625-M-003-003 主持人
準滯留性降水系統之可預報度與預報技術改進研究－子計畫:準滯留性降 水系統與氣候變遷-檢測與歸因(I) 2019/08/01 2020/07/31 科技部(原國科會) MOST 108-2625-M-003-003 主持人
南海-海洋大陸之次季節擾動與中緯度-熱帶交互作用 2018/08/01 2019/07/31 科技部(原國科會) MOST 107-2635-M-003-001 - 主持人
南海-海洋大陸區對流與大尺度環流交互作用 (II)-總計畫：觀測南海-海洋大陸氣候系統的對流與多尺度震盪 (II) 2017/08/01 2019/07/31 科技部(原國科會) 106-2111-M-002-003-MY2 協同/共同主持人
全球暖化下動力貢獻在全球水循環中的機制 2013/08/01 2016/10/31 科技部(原國科會) 102-2111-M-001-002-MY3 協同/共同主持人
氣候變遷下的熱帶對流 2010/08/01 2012/07/31 國科會 NSC 99-2111-M-001 -003 -MY3 協同/共同主持人
西北太平洋熱帶氣旋季節特性的模擬與預測 (II) 2010/08/01 2011/07/31 國科會 NSC 99-2111-M-003 -002 - 協同/共同主持人
西北太平洋熱帶氣旋季節特性的模擬與預測 2009/08/01 2010/07/31 國科會 NSC 98-2745-M-003 -001 協同/共同主持人
熱帶印度洋與太平洋對東亞季風的影響III 2002/08/01 2002/07/31 國科會 必填欄位 主持人
熱帶印度洋與太平洋對東亞季風的影響II 2001/08/01 2002/07/31 國科會 NSC 90－2111－M－003－003－AP1 主持人
熱帶印度洋與太平洋對東亞季風的影響I 2000/08/01 2001/07/31 國科會 必填欄位 主持人