A satellite and field view of the winter SST variability in the Taiwan Strait

Ming An Lee, Yi Chang, Kuo Tien Lee, Jui Wen Chan, Don Chung Liu, Wei Cheng Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Satellite-sensed advanced very high resolution radiometer (AVHRR) sea surface temperature (SST) data over eight winters (1996-2003) and shipboard measurement during winter 2002 were used to analyze the winter SST patterns of variability in the middle of Taiwan Strait. Empirical orthogonal function (EOF) analysis of the spatial and temporal variance for 81 nearly cloud-free quarter monthly images was performed. The time series of spatial mean SST was like a non-linear mode associated with the seasonal thermal variation, having an average value about 20°C. The EOF analysis shows that the variance of oceanic feature was more significant in space than in time. The first mode (85.7%) of the spatial variance shows a persistent front near the Chang-Yuen Ridge in the middle of Taiwan Strait, which separates warmer surface water (>22°C) to the southeast from the colder waters (<19°C) off Mainland China to the northwest. The maximum temperature and salinity gradient at Chang-Yuen Ridge were found about 0.11°C/km and 0.048 psu/km, respectively. The second and third spatial variance modes are extremely low energy about 3.13% and 1.92%, respectively. The EOF's signal and field observation revealed that the heating exchange, balance and its strength (i.e. coolness index) of cold water to warm water, were temporally shifted in winter. From these images, we also constructed an overall coolness index, which revealed the relative strength of Mainland China Coastal Current in relation to the interaction of the South China Sea Warm Current and Kuroshlo Counter Current.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages2621-2626
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 2005 Jul 252005 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume4

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
CountryKorea, Republic of
CitySeoul
Period05-07-2505-07-29

Fingerprint

field of view
strait
sea surface temperature
Satellites
Orthogonal functions
winter
warm water
cold water
Water
Temperature
Advanced very high resolution radiometers (AVHRR)
coastal current
countercurrent
Surface waters
AVHRR
Time series
time series
heating
surface water
Heating

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Lee, M. A., Chang, Y., Lee, K. T., Chan, J. W., Liu, D. C., & Su, W. C. (2005). A satellite and field view of the winter SST variability in the Taiwan Strait. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (pp. 2621-2626). [1525524] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 4). https://doi.org/10.1109/IGARSS.2005.1525524
Lee, Ming An ; Chang, Yi ; Lee, Kuo Tien ; Chan, Jui Wen ; Liu, Don Chung ; Su, Wei Cheng. / A satellite and field view of the winter SST variability in the Taiwan Strait. 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. pp. 2621-2626 (International Geoscience and Remote Sensing Symposium (IGARSS)).
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title = "A satellite and field view of the winter SST variability in the Taiwan Strait",
abstract = "Satellite-sensed advanced very high resolution radiometer (AVHRR) sea surface temperature (SST) data over eight winters (1996-2003) and shipboard measurement during winter 2002 were used to analyze the winter SST patterns of variability in the middle of Taiwan Strait. Empirical orthogonal function (EOF) analysis of the spatial and temporal variance for 81 nearly cloud-free quarter monthly images was performed. The time series of spatial mean SST was like a non-linear mode associated with the seasonal thermal variation, having an average value about 20°C. The EOF analysis shows that the variance of oceanic feature was more significant in space than in time. The first mode (85.7{\%}) of the spatial variance shows a persistent front near the Chang-Yuen Ridge in the middle of Taiwan Strait, which separates warmer surface water (>22°C) to the southeast from the colder waters (<19°C) off Mainland China to the northwest. The maximum temperature and salinity gradient at Chang-Yuen Ridge were found about 0.11°C/km and 0.048 psu/km, respectively. The second and third spatial variance modes are extremely low energy about 3.13{\%} and 1.92{\%}, respectively. The EOF's signal and field observation revealed that the heating exchange, balance and its strength (i.e. coolness index) of cold water to warm water, were temporally shifted in winter. From these images, we also constructed an overall coolness index, which revealed the relative strength of Mainland China Coastal Current in relation to the interaction of the South China Sea Warm Current and Kuroshlo Counter Current.",
author = "Lee, {Ming An} and Yi Chang and Lee, {Kuo Tien} and Chan, {Jui Wen} and Liu, {Don Chung} and Su, {Wei Cheng}",
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Lee, MA, Chang, Y, Lee, KT, Chan, JW, Liu, DC & Su, WC 2005, A satellite and field view of the winter SST variability in the Taiwan Strait. in 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium., 1525524, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, pp. 2621-2626, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 05-07-25. https://doi.org/10.1109/IGARSS.2005.1525524

A satellite and field view of the winter SST variability in the Taiwan Strait. / Lee, Ming An; Chang, Yi; Lee, Kuo Tien; Chan, Jui Wen; Liu, Don Chung; Su, Wei Cheng.

25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 2621-2626 1525524 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Lee, Ming An

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AB - Satellite-sensed advanced very high resolution radiometer (AVHRR) sea surface temperature (SST) data over eight winters (1996-2003) and shipboard measurement during winter 2002 were used to analyze the winter SST patterns of variability in the middle of Taiwan Strait. Empirical orthogonal function (EOF) analysis of the spatial and temporal variance for 81 nearly cloud-free quarter monthly images was performed. The time series of spatial mean SST was like a non-linear mode associated with the seasonal thermal variation, having an average value about 20°C. The EOF analysis shows that the variance of oceanic feature was more significant in space than in time. The first mode (85.7%) of the spatial variance shows a persistent front near the Chang-Yuen Ridge in the middle of Taiwan Strait, which separates warmer surface water (>22°C) to the southeast from the colder waters (<19°C) off Mainland China to the northwest. The maximum temperature and salinity gradient at Chang-Yuen Ridge were found about 0.11°C/km and 0.048 psu/km, respectively. The second and third spatial variance modes are extremely low energy about 3.13% and 1.92%, respectively. The EOF's signal and field observation revealed that the heating exchange, balance and its strength (i.e. coolness index) of cold water to warm water, were temporally shifted in winter. From these images, we also constructed an overall coolness index, which revealed the relative strength of Mainland China Coastal Current in relation to the interaction of the South China Sea Warm Current and Kuroshlo Counter Current.

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Lee MA, Chang Y, Lee KT, Chan JW, Liu DC, Su WC. A satellite and field view of the winter SST variability in the Taiwan Strait. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 2621-2626. 1525524. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2005.1525524