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Çѱ¹¼öÀÚ¿øÇÐȸ / v.38, no.12, 2005³â, pp.985-994
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Nino3.4Áö¿ª SST ¹× ¿©¸§°¼ö·®ÀÇ µ¶¸³¼ººÐºÐ¼®
( Independent Component Analysis of Nino3.4 Sea Surface Temperature and Summer Seasonal Rainfall ) |
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| ¼ö¹®½Ã°è¿À» ºÐ¼®Çϱâ À§ÇÑ ¹æ¹ýÀ¸·Î ³·Àº Â÷¿ø¿¡¼ ÇØ¼®ÀÌ °¡´ÉÇÑ ÁÖ¼ººÐºÐ¼® ¹æ¹ýÀÇ ¹®Á¦Á¡À» °ËÅäÇϰí À̸¦ º¸¿ÏÇÒ ¼ö ÀÖ´Â µ¶¸³¼ººÐºÐ¼®ÀÇ À̷аú Ư¼ºÀ» °ËÅäÇÏ¿´°í ¼ö¹®±â»óÀÚ·áÀÎ NinoÁö¿ªÀÇ ÇØ¼ö¸é¿Âµµ¿¡ Àû¿ëÇÏ¿© El $ ilde{n}ino$-Southern Oscillation(ENSO) »ç»ó°úÀÇ »ó°ü¼ºÀ» Æò°¡ÇÏ¿´´Ù. È¥ÇÕÀڷḦ »ç¿ëÇÏ¿© µ¶¸³¼ººÐºÐ¼® ¹æ¹ýÀÇ ÁÖ¼ººÐ ºÐ¸® ´É·ÂÀ» °ËÅäÇÑ °á°ú µ¶¸³¼ººÐºÐ¼®ÀÌ ±âÁ¸ ÁÖ¼ººÐºÐ¼®¿¡ ºñÇØ Åë°èÀûÀ¸·Î ¿ì¼öÇÑ °á°ú¸¦ ³ªÅ¸³»¾ú´Ù. El $ ilde{n}ino$ÀÇ °¨½Ã±¸¿ªÀÎ Nino+3.4Áö¿ªÀÇ $5^{circ}{ imes}5^{circ}$(À§µµ¿Í °æµµ)ÀÇ ÃÑ 20°³ Global Anomaly SST °ÝÀÚÀڷḦ ´ë»óÀ¸·Î ºÐ¼®À» ½Ç½ÃÇÏ¿© El $ ilde{n}ino$-Southern Oscillation(ENSO)»ç»óÀÇ ¹ß»ý½Ã±â¿ÍÀÇ »ó°ü°ü°è¸¦ Æò°¡ÇÏ¿´À¸¸ç ÇÑ °³ÀÇ µ¶¸³¼ººÐ($86%$)¸¸À¸·Î SSTÀÇ ÀüüÀûÀÎ °Åµ¿À» Ç¥ÇöÇÒ ¼ö ÀÖ¾úÀ¸¸ç ÁÖ¿ä ENSO ¹ß»ý½Ã±â¿Í ÀÏÄ¡ÇÏ´Â °á°ú¸¦ ³ªÅ¸³»¾ú´Ù. ¶ÇÇÑ ±¹³» ÁÖ¿äÁöÁ¡ÀÇ ¿©¸§ °¼ö·®À» ´ë»óÀ¸·Î µ¶¸³¼ººÐºÐ¼®À» Àû¿ëÇÑ °á°ú Áö¿ªÀûÀΠƯ¼ºÀ» °í·ÁÇÏ¿© ºñ±³Àû ÇÕ¸®ÀûÀ¸·Î µ¶¸³¼ººÐÀ» ÃßÃâÇÒ ¼ö ÀÖ¾úÀ¸¸ç IC-1°ú IC-2¿¡¼ 1970³â´ë ÀÌÈÄ·Î ¿©¸§°¼ö·®ÀÇ Áõ°¡¸¦ È®ÀÎÇÒ ¼ö ÀÖ¾ú´Ù. |
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| We examined problems of the principal component analysis(PCA), which is able to analyze at the low dimensionality as a methodologv to assess hydrologic time series, and introduced the theory and characteristics of independent component analysis(ICA) that can supplement problems of principal component analysis. We also applied the global sea surface temperature(SST) of the Nino region and assessed the correlation between El $ ilde{n}ino$-Southern Oscillation(ENSO) and SST. The results of examining separation-ability of principal components using mixed signals indicate that the independent component analysis is statistically superior compared to that of the principal component analysis. Finally, we assessed correlation between ENSO and global anomaly SST. The independent component analysis was applied to the $5^{circ}{ imes}5^{circ}$(latitude and longitude) global anomaly SST in the Nino+3.4 region that is the El $ ilde{n}ino$ observation section. We assessed the correlation with the ENSO years. These results of the analysis show that only one independent component($86%$) was able to represent the entire behavior and was consistent with the main ENSO years. Finally, we carried out independent component analysis for summer seasonal rainfalls at nine stations and could extract ICs to reflect geographical characteristics. The increasing trend has been shown at IC-1 and IC-2 since 1970s. |
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| Ű¿öµå |
| µ¶¸³¼ººÐºÐ¼®;ÁÖ¼ººÐºÐ¼®;Independent component analysis;principal component analysis;global sea surface temperature;ENSO; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.38, no.12, 2005³â, pp.985-994
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200508824142324)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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