Paper
29 December 2008 Statistic study of effect of the sea surface temperature caused by typhoon based on remote sensing
Author Affiliations +
Proceedings Volume 7153, Lidar Remote Sensing for Environmental Monitoring IX; 715312 (2008) https://doi.org/10.1117/12.804901
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia
Abstract
Using NOAA and MODIS (Terra & Aqua) satellites data, and mainly basing on 3×3 degree square as study area, the authors systematically analysis the effects of Sea Surface Temperature (SST) caused by 37 typhoons which passed by the Northwest Pacific Ocean from 2000 to 2008 and find: (1) In the Northwest Pacific Ocean area, the SST without typhoon is averagely 26.10°C, but the SST is averagely 22.90°C during typhoon happened. The SST averagely decreases 3.20°C with the drop rate of 11.55%, and the maximal fall of SST is 7.79°C by typhoon. At the same time, the sustaining time with low SST is usually 2~5 days, and the time mainly lies on the lingering time of typhoon in the sea areas. After typhoon, the SST comebacks to the normal level before typhoon had happened. This can be seen clearly from the change of the SST before and after typhoon SAOMAI and LEKIMA .(2) In the study area of typhoon SAOMAI and LEKIMA passed through, there are certain rightward bias of the distribution of the decrease of SST before and after typhoon. (3) The decrease of SST during typhoon is positive correlation with the wind speed and negative correlation with the moving speed of typhoon respectively and the correlation coefficient is less than 0.3, but it is better positive correlation with the weight of typhoon and the correlation coefficient rises to 0.47.In conclusion, the effect of SST by typhoon is notable, and based on remote sensing to study this effects is effective means.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongyang Fu, Delu Pan, Youzhuan Ding, and Haiqing Huang "Statistic study of effect of the sea surface temperature caused by typhoon based on remote sensing", Proc. SPIE 7153, Lidar Remote Sensing for Environmental Monitoring IX, 715312 (29 December 2008); https://doi.org/10.1117/12.804901
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Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

Satellites

Composites

MODIS

Data fusion

Electroluminescence

Oceanography

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