Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data

Suk Yoon, Joo Hyung Ryu, Yu Hwan Ahn, Hong Sik Min, Joong Sun Won

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

Abstract

Global warming has significant effect on the sea surface temperature. Sea surface temperature is an important parameter for the quantitative studies of monitoring the Earth's environment changes. Determination and analysis of sea surface temperature from satellite data has been the main focus in oceanographic research and thus needs quantitative analysis in its retrievals. We used EOF method applying SST. Seasonal and interannual variability of Sea surface temperature (SST) and Land surface temperature (LST) concentration in the korea Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the NOAA from 1999 to 2009. In the result of SST, The first EOF mode explains 55.7% of the variability, the second EOF mode explains 21.5%, and the third EOF mode explains 21.5%. As a result of LST, The first EOF mode explains 99.7% of the variability, the second EOF mode explains 2.5%, and the third EOF mode explains 0.9. It shows commom tendency of interannual variability with the period of 3-4 years at most of the locations. SST was higher in the 2004's and early 2006's and lower in the 2003. The pattern of the interannual variability of SST was similar to that of air temperature. Increasing trend of SST was obvious that it was larger eastern more than western. In the Future, we expect to analyse, collect with a various satellite data and in situ data for long time.

Original languageEnglish
Title of host publicationRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment
DOIs
Publication statusPublished - 2010 Dec 1
EventRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment - Incheon, Korea, Republic of
Duration: 2010 Oct 132010 Oct 14

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7858
ISSN (Print)0277-786X

Other

OtherRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment
CountryKorea, Republic of
CityIncheon
Period10/10/1310/10/14

Fingerprint

Land Surface Temperature
land surface temperature
Orthogonal functions
orthogonal functions
Sea Surface Temperature
Orthogonal Functions
Korea
sea surface temperature
Remote Sensing
remote sensing
Remote sensing
Temperature
Earth environment
Global Warming
global warming
Satellites
Quantitative Analysis
quantitative analysis
retrieval
tendencies

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Yoon, S., Ryu, J. H., Ahn, Y. H., Min, H. S., & Won, J. S. (2010). Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data. In Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment [78580K] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7858). https://doi.org/10.1117/12.870122
Yoon, Suk ; Ryu, Joo Hyung ; Ahn, Yu Hwan ; Min, Hong Sik ; Won, Joong Sun. / Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data. Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment. 2010. (Proceedings of SPIE - The International Society for Optical Engineering).
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title = "Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data",
abstract = "Global warming has significant effect on the sea surface temperature. Sea surface temperature is an important parameter for the quantitative studies of monitoring the Earth's environment changes. Determination and analysis of sea surface temperature from satellite data has been the main focus in oceanographic research and thus needs quantitative analysis in its retrievals. We used EOF method applying SST. Seasonal and interannual variability of Sea surface temperature (SST) and Land surface temperature (LST) concentration in the korea Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the NOAA from 1999 to 2009. In the result of SST, The first EOF mode explains 55.7{\%} of the variability, the second EOF mode explains 21.5{\%}, and the third EOF mode explains 21.5{\%}. As a result of LST, The first EOF mode explains 99.7{\%} of the variability, the second EOF mode explains 2.5{\%}, and the third EOF mode explains 0.9. It shows commom tendency of interannual variability with the period of 3-4 years at most of the locations. SST was higher in the 2004's and early 2006's and lower in the 2003. The pattern of the interannual variability of SST was similar to that of air temperature. Increasing trend of SST was obvious that it was larger eastern more than western. In the Future, we expect to analyse, collect with a various satellite data and in situ data for long time.",
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Yoon, S, Ryu, JH, Ahn, YH, Min, HS & Won, JS 2010, Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data. in Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment., 78580K, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, Incheon, Korea, Republic of, 10/10/13. https://doi.org/10.1117/12.870122

Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data. / Yoon, Suk; Ryu, Joo Hyung; Ahn, Yu Hwan; Min, Hong Sik; Won, Joong Sun.

Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment. 2010. 78580K (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7858).

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

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N2 - Global warming has significant effect on the sea surface temperature. Sea surface temperature is an important parameter for the quantitative studies of monitoring the Earth's environment changes. Determination and analysis of sea surface temperature from satellite data has been the main focus in oceanographic research and thus needs quantitative analysis in its retrievals. We used EOF method applying SST. Seasonal and interannual variability of Sea surface temperature (SST) and Land surface temperature (LST) concentration in the korea Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the NOAA from 1999 to 2009. In the result of SST, The first EOF mode explains 55.7% of the variability, the second EOF mode explains 21.5%, and the third EOF mode explains 21.5%. As a result of LST, The first EOF mode explains 99.7% of the variability, the second EOF mode explains 2.5%, and the third EOF mode explains 0.9. It shows commom tendency of interannual variability with the period of 3-4 years at most of the locations. SST was higher in the 2004's and early 2006's and lower in the 2003. The pattern of the interannual variability of SST was similar to that of air temperature. Increasing trend of SST was obvious that it was larger eastern more than western. In the Future, we expect to analyse, collect with a various satellite data and in situ data for long time.

AB - Global warming has significant effect on the sea surface temperature. Sea surface temperature is an important parameter for the quantitative studies of monitoring the Earth's environment changes. Determination and analysis of sea surface temperature from satellite data has been the main focus in oceanographic research and thus needs quantitative analysis in its retrievals. We used EOF method applying SST. Seasonal and interannual variability of Sea surface temperature (SST) and Land surface temperature (LST) concentration in the korea Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the NOAA from 1999 to 2009. In the result of SST, The first EOF mode explains 55.7% of the variability, the second EOF mode explains 21.5%, and the third EOF mode explains 21.5%. As a result of LST, The first EOF mode explains 99.7% of the variability, the second EOF mode explains 2.5%, and the third EOF mode explains 0.9. It shows commom tendency of interannual variability with the period of 3-4 years at most of the locations. SST was higher in the 2004's and early 2006's and lower in the 2003. The pattern of the interannual variability of SST was similar to that of air temperature. Increasing trend of SST was obvious that it was larger eastern more than western. In the Future, we expect to analyse, collect with a various satellite data and in situ data for long time.

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Yoon S, Ryu JH, Ahn YH, Min HS, Won JS. Temporal and spatial varibility of SST and LST concentrations in the Korea sea using Empirical Orthogonal Function (EOF) analysis of remote sensing data. In Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment. 2010. 78580K. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.870122