MEAN SQUARE DEVIATION ANALYSIS OF INTERANNUAL SST VARIABILITY IN TROPICAL PACIFIC AND INDIAN OCEAN

YAN Hua-sheng; LI Yan; FAN Yi; JU Jian-hua

Abstract:

Using the SST data series in tropical ocean (20°N ~ 20°S, 50°E ~ 80°W) during 1951 ~ 1997 to calculate its monthly mean square deviation, the work obtains results showing that interannual SST variability of the Pacific is more significant than that of the Indian Ocean, especially near the central and eastern equatorial Pacific (165°W～90°W, 6°N～6°S), where it ranges from 2°C to 4°C. The interannual SST variability is obvious in November and December but small in March and April. The interannual variability of “warm pool” SST is not so obvious as that of the eastern equatorial Pacific. However, interannual SST variability of the Indian Ocean ranges from 1°C to 2°C or so, being smaller than that of the Pacific. In the Indian Ocean, interannual SST variability of the Southern Hemisphere is more obvious than that of the Northern Hemisphere. According to above characteristics of interannual SST variability, the key sectors are determined.

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YAN Hua-sheng, LI Yan, FAN Yi, et al. MEAN SQUARE DEVIATION ANALYSIS OF INTERANNUAL SST VARIABILITY IN TROPICAL PACIFIC AND INDIAN OCEAN [J]. Journal of Tropical Meteorology, 2002, 8(1): 20-26.

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MEAN SQUARE DEVIATION ANALYSIS OF INTERANNUAL SST VARIABILITY IN TROPICAL PACIFIC AND INDIAN OCEAN

Earth Science Department, Yunnan University

Abstract: Using the SST data series in tropical ocean (20°N ~ 20°S, 50°E ~ 80°W) during 1951 ~ 1997 to calculate its monthly mean square deviation, the work obtains results showing that interannual SST variability of the Pacific is more significant than that of the Indian Ocean, especially near the central and eastern equatorial Pacific (165°W～90°W, 6°N～6°S), where it ranges from 2°C to 4°C. The interannual SST variability is obvious in November and December but small in March and April. The interannual variability of “warm pool” SST is not so obvious as that of the eastern equatorial Pacific. However, interannual SST variability of the Indian Ocean ranges from 1°C to 2°C or so, being smaller than that of the Pacific. In the Indian Ocean, interannual SST variability of the Southern Hemisphere is more obvious than that of the Northern Hemisphere. According to above characteristics of interannual SST variability, the key sectors are determined.

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Reference (13)

[1]	CHEN Lie-ting. Effects of temperature anomalies of seawater in equatorial eastern Pacific on precipitation in theraining season in China [J]. Chinese Journal of Atmospheric Sciences (formerly Scientia Atmospherica Sinica),1977, 1: 1-12.
[2]	CHEN Lie-ting, JIN Zu-hui, LUO Shao-hua. Characteristics of sea temperature variation in the Indian Oceanand South China Sea and some of their links with the general circulation [J]. Acta Oceanologica Sinica, 1985,7: 103-110.
[3]	CHEN Lie-ting. Zonal differences in seawater in tropical Indian-Pacific Oceans and the effects on Asiansummer monsoon [J]. Chinese Journal of Atmospheric Sciences, 1988, (Special Issue): 142-148.
[4]	CHEN Lie-ting. Effect of zonal difference of sea surface temperature anomalies in the Arabian Sea and theSouth China Sea on summer rainfall over the Yangtze River [J]. Chinese Journal of Atmospheric Sciences,1991, 15: 33-42.
[5]	CHEN Lie-ting, WU Ren-guang. The joint effects of SST anomalies over different Pacific regions on summerrainbelt patterns in eastern China [J]. Chinese Journal of Atmospheric Sciences, 1998, 22: 718-726.
[6]	DENG Ai-jun, TAO Shi-yan, CHEN Lie-ting. Temporal and spatial distribution of SST in the Indian Ocean andits relationship with the precipitation in the raining season in China [J]. Chinese Journal of AtmosphericSciences, 1989, 13: 393-399.
[7]	WU Guo-xiong, SUN Feng-ying, WANG Jing-fang, et al. Neibourhood response of rainfall to tropical seasurface temperature anomalies Part II. Data analysis [J]. Chinese Journal of Atmospheric Sciences, 1995, 19:663-676.
[8]	WU Guo-xiong, MENG Wen. Gearing between the Indo-monsson circulation and the Pacific-Walkercirculation and the ENSO. Part I: Data analyses [J]. Chinese Journal of Atmospheric Sciences, 1998, 22:470-480.
[9]	LUO Shao-hua, JIN Zu-hui, CHEN Lie-ting. Analyses of the correlation between the SST in the Indian Oceanand South China Sea and summer precipitation in the middle and lower reaches in the Changjiang River [J].Chinese Journal of Atmospheric Sciences, 1985, 9: 314-320.
[10]	LUO Shao-hua, JIN Zu-hui. Statistical analyses for sea surface temperature over the South China Sea,behavior of subtropical high over west pacific and monthly mean rainfall over the Changjiang middle and lowerreaches [J]. Chinese Journal of Atmospheric Sciences, 1986, 10: 409-417.
[11]	HUANG Rong-hui, SUN Feng-ying. Impacts of the thermal state and the convective activities in the tropicalwestern warm pool on the summer climate anomalies in east Asia [J]. Chinese Journal of Atmospheric Sciences,1994, 18: 141-151.
[12]	WEI Feng-ying. Changes in global SST and anomalous distribution of precipitation in the raining season inChina [J]. Quarterly Journal of Applied Meteorology, 1998, (Suppl.): 100-108.
[13]	YAN Hong-ming, YAN Hua-sheng, XIE Ying-qi. The SSTA signal characteristic analysis over India Oceanduring flood season in China [J]. Journal of Tropical Meteorology, 2001, 17: 109-116.

MEAN SQUARE DEVIATION ANALYSIS OF INTERANNUAL SST VARIABILITY IN TROPICAL PACIFIC AND INDIAN OCEAN

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