Ruo-Shan Tseng

Prof. Ruo-Shan Tseng


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2015 in Renewable Energy
Verified
Journal Article
Closed access
YCYu-Chia Chang
Yu-Chia Chang
PCPeter Chu
Peter Chu
RTRuo-Shan Tseng
Ruo-Shan Tseng

17 July 2013 in Journal of Navigation
Verified
Journal Article
Closed access
PDF file
YCYu-Chia Chang
Yu-Chia Chang
RTRuo-Shan Tseng
Ruo-Shan Tseng
GCGuan-Yu Chen
Guan-Yu Chen
PCPeter Chu
Peter Chu
YSYung-Ting Shen
Yung-Ting Shen
From the Surface Velocity Program (SVP) drifter current data, a detailed and complete track of strong ocean currents in the north-western Pacific is provided using the bin average method. The focus of this study is on the Kuroshio, the strong western boundary current of the North Pacific flowing northward along the east coast of Taiwan and then turning eastward off southern Japan. With its average flow speed of about 2 knots, the Kuroshio can significantly increase the ship's speed for a “super-slow-steaming” container ship travelling at speeds of 12 knots between the ports of Southeast Asia and Japan. By properly utilizing knowledge of strong ocean currents to follow the Kuroshio on the northbound runs and avoid it on the return trip, considerable fuel can be saved and the transit time can be reduced. In the future, the detailed Kuroshio saving-energy route could be built into electronic chart systems for all navigators and shipping routers.

25 March 2010 in Journal of Oceanography
Verified
Journal Article
Closed access
PDF file
YCYu-Chia Chang
Yu-Chia Chang
RTRuo-Shan Tseng
Ruo-Shan Tseng
LCLuca R. Centurioni
Luca R. Centurioni

1 September 2004 in Journal of Physical Oceanography
Verified
Journal Article
Closed access
RTRuo-Shan Tseng
Ruo-Shan Tseng
EDEric A. D'ASaro
Eric A. D'ASaro
D'Asaro, in previous work using nearly neutrally buoyant Lagrangian floats in a wind forced mixed layer, found 〈w2〉 = Au2∗, where 〈w2〉 is the mean square vertical velocity and u∗ is the friction velocity estimated from shipboard meteorological measurements using bulk formulas. Depth profiles of A(z) = 〈w2〉(z)/u2∗ within the mixed layer showed a maximum value of A(z) of about 2, which is 1.75–2 times that measured in solid-wall turbulent boundary layers driven by a wall stress alone. This result implied that the ocean mixed layer was more energetic than shear-driven turbulent boundary layers driven by the same stress. Here these results are verified using observations of vertical velocity in the mixed layer from 72 float days of data from two Lagrangian floats in the North Pacific Ocean in the autumn of 2000. These floats were more neutrally buoyant than those used previously by D'Asaro, thus reducing possible biases. Wind stress was estimated from Quick Scatterometer satellite measurements and is... Abstract D'Asaro, in previous work using nearly neutrally buoyant Lagrangian floats in a wind forced mixed layer, found 〈w2〉 = Au2∗, where 〈w2〉 is the mean square vertical velocity and u∗ is the friction velocity estimated from shipboard meteorological measurements using bulk formulas. Depth profiles of A(z) = 〈w2〉(z)/u2∗ within the mixed layer showed a maximum value of A(z) of about 2, which is 1.75–2 times that measured in solid-wall turbulent boundary layers driven by a wall stress alone. This result implied that the ocean mixed layer was more energetic than shear-driven turbulent boundary layers driven by the same stress. Here these results are verified using observations of vertical velocity in the mixed layer from 72 float days of data from two Lagrangian floats in the North Pacific Ocean in the autumn of 2000. These floats were more neutrally buoyant than those used previously by D'Asaro, thus reducing possible biases. Wind stress was estimated from Quick Scatterometer satellite measurements and is...

7 October 2021 in Journal of Geophysical Research: Oceans
Verified
Journal Article
Open access
PDF file
Po-Chun HsuPo-Chun Hsu
Po-Chun Hsu
LCLuca Centurioni
Luca Centurioni
HSHuan‐Jie Shao
Huan‐Jie Shao
QZQuanan Zheng
Quanan Zheng
CLChing-Yuan Lu
Ching-Yuan Lu
RTRuo-Shan Tseng
Ruo-Shan Tseng
Ocean currents in the southern East China Sea (ECS) are complex and have long lacked systematic observational data. Observations from coastal radars in northern Taiwan, along with several drifters and satellite data, reveal a detailed ECS surface flow structure and thermal front. Drifter trajectories followed the seasonal flow field and were oscillatory and trapped due to strong tidal currents. Three drifters crossed the oceanic front off the northern coast of Taiwan following the tidal motion with a rapid change in the sea surface temperature by 2.5°C, which was recorded within a small distance of 500 m. A significant seasonal water mass exchange cycle occurred in the southern ECS. Starting in October, the Kuroshio Current intrudes onto the ECS shelf, causing the formation of a southwestward Northern Taiwan Coastal Current that mixes with the China Coastal Current to form a southward flow in the northern Taiwan Strait. Beginning in March, the ocean current off northwestern Taiwan shifts northward and then gradually flows eastward into the Kuroshio region. With satellite‐derived and model‐simulated surface currents contradicting each other over long periods of time, hourly coastal radar data have not only successfully explained the spatiotemporal variations in the sea surface temperature, salinity, and chlorophyll concentration observed by satellites but have also resolved the long‐standing disputes over the surface currents in the southern ECS.

15 November 2018 in Journal of Operational Oceanography
Verified
Journal Article
Open access
YSYung-Ting Shen
Yung-Ting Shen
JLJian-Wu Lai
Jian-Wu Lai
LLLi-Guang Leu
Li-Guang Leu
YLYi-Chieh Lu
Yi-Chieh Lu
JCJau-Ming Chen
Jau-Ming Chen
RTRuo-Shan Tseng
Ruo-Shan Tseng
To enhance the immediacy and accuracy of search and rescue missions conducted by Taiwan Coast Guard Administration (TCGA), this study examines the characteristics of ocean currents and estimates the drifting trajectory of objects for two cases of marine incidents. Two methods are used to predict object’s drift tracks: the first one is simply calculating the advection driven by currents and the second method adopts a Monte Carlo based software, SARMAP. Ocean currents data from a high-frequency radar system comprised of 18 radar units surrounding Taiwan supplemented by bottom-mounted Acoustic Doppler Current Profilers (ADCP) data and wind data are used as the primary oceanic environment data. The estimated ending points of drifting for both cases of missing persons in water by using both methods are consistent with the actual recovery locations. Our analyses demonstrate that ocean currents data, if properly used, can be very useful for rapid response in marine search and rescue.