Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Yu Hsin Cheng"'
Diurnal Sea Surface Temperature Warming Along the Kuroshio off Taiwan Under Easterly Wind Conditions
Autor:
Ming‐Huei Chang, Yu‐Hsin Cheng, Yu‐Yu Yeh, Je‐Yuan Hsu, Sen Jan, Yu‐heng Tseng, Chung‐Hsiung Sui, Yiing Jang Yang, Po‐Hsiung Lin
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 2, Pp n/a-n/a (2023)
Abstract We carry out the Lagrangian diurnal warm layer (DWL) observations, supplemented by satellite products, along the strong Kuroshio east of Taiwan, where the boundary terrain modifies the winds and the advection effect is significant. The synop
Externí odkaz:
https://doaj.org/article/2b6d36394e2741afa118f024b7f1fbb9
Autor:
Sen Jan, Ming-Huei Chang, Yiing Jang Yang, Chung-Hsiung Sui, Yu-Hsin Cheng, Yu-Yu Yeh, Chung-Wei Lee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The South China Sea (SCS) is a high biodiversity region in the world ocean, supports abundant marine resources to the peripheral nations, and affects weather/climate in southeast Asia. A better understanding of its circulation is important t
Externí odkaz:
https://doaj.org/article/f2a0d8aee38949268aba5c92b45ee546
Autor:
Yu Hsin Cheng, 鄭羽芯
94
A survey was employed in the study. Four hundred college students were sampled from 11 universities in Changhua and Taichung areas and counties. Instruments used in the study were Inventories of Basic Information Investigation, Adult Attachme
A survey was employed in the study. Four hundred college students were sampled from 11 universities in Changhua and Taichung areas and counties. Instruments used in the study were Inventories of Basic Information Investigation, Adult Attachme
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32880042956982689602
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Kelvin–Helmholtz (KH) billows can facilitate microscale turbulent mixing around seamounts in the Kuroshio. This study sought to describe the influence of billow intensity (i.e., “intermittent and small” and “steady and large” billows) on ve
Externí odkaz:
https://doaj.org/article/bd3c9fd0802f49b8bd1086fba10334ad
Autor:
Ming-Huei Chang, Yu-Hsin Cheng, Yu-Yu Yeh, Yiing Jang Yang, Sen Jan, Chih-Lun Liu, Takeshi Matsuno, Takahiro Endoh, Eisuke Tsutsumi, Jia-Lin Chen, Xinyu Guo
Publikováno v:
Journal of Physical Oceanography. 52:3179-3198
Complex small-scale processes and energetic turbulence are observed at a sill located on the I-Lan Ridge that spans across the strong Kuroshio off Taiwan. The current speed above the sill is strong (1.5 m s−1) and unsteady (±0.5 m s−1) due to th
Publikováno v:
Remote Sensing, Vol 6, Iss 6, Pp 5164-5183 (2014)
The sea level anomaly data derived from satellite altimetry are analyzed to investigate statistical characteristics of mesoscale eddies in the North Pacific. Eddies are detected by a free-threshold eddy identification algorithm. The results show that
Externí odkaz:
https://doaj.org/article/22f163df53a943b392c9b57733281795
Publikováno v:
Wiener Klinische Wochenschrift
Wiener klinische Wochenschrift
Wiener klinische Wochenschrift
Summary According to the World Health Organization (WHO) the China office was first notified of cases of atypical pneumonia in Wuhan City on 31 December 2019. A viral genome sequence of a novel coronavirus, currently termed SARS-CoV‑2, with a disea
Publikováno v:
Sensors, Vol 11, Iss 8, Pp 7530-7544 (2011)
An neural network model of data mining is used to identify error sources in satellite-derived tropical sea surface temperature (SST) estimates from thermal infrared sensors onboard the Geostationary Operational Environmental Satellite (GOES). By usin
Externí odkaz:
https://doaj.org/article/9a6a216df8e34f81a867ee63087521be
Publikováno v:
Sensors, Vol 9, Iss 7, Pp 5521-5533 (2009)
Multi-sensor data from different satellites are used to identify an upwelling area in the sea off northeast Taiwan. Sea surface temperature (SST) data derived from infrared and microwave, as well as sea surface height anomaly (SSHA) data derived from
Externí odkaz:
https://doaj.org/article/28c942af734e4f598c4f200554b96a58