- Our Research
Mooring system and data analysis, flow pattern and hydrographic structure
Chow, Chun Hoe, Cheah, Wee, Tai, Jen-Hua, and Liu, Sin-Fu, (2019), “Anomalous wind triggered the largest phytoplankton bloom in the oligotrophic North Pacific Subtropical Gyre”, Scientific Reports, 9(1):15550.
Pan, Xiaoju, Wong, George T. F., Ho, Tung-Yuen, and Tai, Jen-Hua, (2019), “Diel variability of vertical distributions of chlorophyll a at the SEATS and ALOHA stations: implications on remote sensing interpretations”, International Journal of Remote Sensing, 40(8), 2916-2935.
Pan, Xiaoju, Wong, George T. F., Ho, Tung-Yuen, Tai, Jen-Hua, Liu, Hongbin, Liu, Juanjuan, and Shiah, Fuh-Kwo, (2018), “Remote sensing of surface [nitrite+nitrate] in river-influenced shelf-seas: the northern South China Sea Shelf-seas”, Remote Sensing of Environment, 210, 1-11.
Austria, Eleanor, Lai, Chao-Chen, Ko, Chia-Ying, Lee, Kuo-Yuan, Kuo, Hsiang-Yi, Chen, Tzong-Yueh, Tai, Jen-Hua, and Shiah, Fuh-Kwo, (2018), “Growth-controlling mechanisms on heterotrophic bacteria in the South China Sea shelf: summer and winter patterns”, Terrestrial Atmospheric Oceanic Sciences, 29(4), 1-13.
Tai, Jen-Hua, Wong, George T. F., and Pan, Xiaoju, (2017), “Upper water structure and mixed layer depth in tropic waters: the SEATS station in the northern South China Sea”, Terrestrial Atmospheric Oceanic Sciences, 28(6), 1019-1032.
Chow, Chun Hoe, Cheah, Wee, and Tai, Jen-Hua, (2017), “A rare and large summer bloom in the oligotrophic western North Pacific Subtropical Gyre”, Scientific Reports, 7(1):6199.
Tai, Jen-Hua, Yang, Kai-Chieh, and Gawarkiewicz, Glen, (2017), “Subtidal current structure and variability of the continental shelf and slope of the northern South China Sea”, Terrestrial Atmospheric Oceanic Sciences, 28(3), 421-433.
Pan, Xiaoju, Wong, George T. G., DeCarlo, Tomas M., Tai, Jen-Hua, Cohen, and Anne L., (2017), “Validation of the remotely sensed nighttime sea surface temperature in the shallow water at the Dongsha Atoll”, Terrestrial Atmospheric Oceanic Sciences, 28(3), 527-534.
Chen, Tzong-Yueh, Tai, Jen-Hua, Ko, Chia-Ying, Hsieh, Chih-Hao, Chen, Chung-Chi, Jiao, Nianzhi, Liu, Hong-Bin, and Shiah, Fuh-Kwo, (2016), “Nutrient pulses driven by internal solitary waves enhance heterotrophic bacterial growth in the South China Sea”, Environmental Microbiology, 18(2), 4312-4323.
Pan, Xiaoju, Wong, George T. F., Tai, Jen-Hua, and Ho, Tung Yuan, (2015), “Climatology of the oceanography of the northern South China Sea Shelf-sea (NoSoCS) and adjacent waters: Observations from satellite remote sensing”, Deep Sea Research Part II, 117, 10-22.
Techniques & Development
Mooring system and data analysis: I am expert in developing/deploying mooring system for long-term hydrographic parameters’ observations (technical reports:1, 2, 4, 5), data analysis and their interpretation in a view of physical oceanography. These efforts support RCEC colleagues and oceanographic community for their studies, including 1) biogeochemical variations in South China Sea (peer-reviewed papers: 5, 6, 7, 8, 12, 13, and 14) and 2) phytoplankton bloom in the oligotrophic North Pacific Gyre (peer-reviewed papers: 10, and 15).
Flow pattern and hydrographic structure: I am also interested in study the flow pattern and vertical hydrographic structures of the upper ocean around Taiwan. The findings include: 1. the Kuroshio migrated both seasonal and intra-seasonally and the flow pattern north of Taiwan was impacted by the migration of Kuroshio (peer-reviewed paper: 1); 2. the intra-seasonal variation (5-day) of current velocity in Luzon Strait is caused by Kuroshio frontal instability, and ridge topography and stratification play an important role (peer-reviewed paper: 4); 3. the subtidal current on continental shelf and slope of northern South China Sea was affected by wind strength, fresh water inputs, typhoon, and eddies (peer-reviewed paper: 9); and 4. the hydrographic structure in the northern South China Sea (SEATS station) has three principal types and fixed temperature difference method of 0.5 and 0.8oC from the 10-m temperature may be a best estimator for determining mixed layer depth (peer-reviewed paper: 11).