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Çѱ¹¼öÀÚ¿øÇÐȸ / v.43, no.5, 2010³â, pp.471-482
ÇØ¼ö¸é¿Âµµ¿Í ¿ì¸®³ª¶ó ¿ù°­¿ì·®°úÀÇ °ü°èºÐ¼®¿¡ °üÇÑ ¿¬±¸
( A Study on the Analysis of the Relationship between Sea Surface Temperature and Monthly Rainfall )
¿Àż®;¹®¿µÀÏ; ¼­¿ï½Ã¸³´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;¼­¿ï½Ã¸³´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;
 
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¼ö¹®ÇÐÀû ¹°¼øÈ¯°úÁ¤¿¡¼­ °­¿ì´Â ¿©·¯ ±â»óÇÐÀû ÀÎÀÚµé°ú ¹ÐÁ¢ÇÑ °ü·ÃÀ» °®À¸¸ç ¹ß»ýÇÑ´Ù. µû¶ó¼­ º» ¿¬±¸¿¡¼­´Â ´ëÇ¥ÀûÀÎ ¼ö¹®±â»óÀÎÀÚÀÎ ÇØ¼ö¸é¿Âµµ¿Í Çѹݵµ¿¡ ¹ß»ýÇÏ´Â ¿ù°­¿ì·® »çÀÌÀÇ °ü°è¿¡ ´ëÇÏ¿© ºÐ¼®ÇÏ¿´´Ù. ¿ì¸®³ª¶óÀÇ 61°³ ÁöÁ¡ÀÇ ¿ùÆò±Õ °­¿ì·®°ú À§µµ ¹× °æµµ ÀڷḦ ÀÌ¿ëÇÏ¿© ±ºÁýºÐ¼®À» ¼öÇàÇÏ¿´´Ù. ±ºÁý ºÐ¼® °á°ú¿¡¼­ ¿ì¸®³ª¶óÀÇ ¿ù°­¿ìÀڷḦ ÀÌ¿ëÇÏ¿© Å©°Ô 4°³ÀÇ ±ºÁýÀ¸·Î ±¸ºÐÇÒ ¼ö ÀÖ¾ú´Ù. ±ºÁýº°·Î ±¸ºÐµÈ °­¿ì°üÃø¼ÒÀÇ ¿ù°­¿ì·® ÀÚ·áµéÀ» ÁÖ¼ººÐÀ» ÃßÃâÇÏ¿´´Ù. ÃßÃâµÈ ÁÖ¼ººÐ°ú ÇØ¼ö¸é¿Âµµ¿ÍÀÇ »ó°ü¼º ºÐ¼®À» ¼öÇàÇÏ¿´´Ù. »ó°ü¼º ºÐ¼® °á°ú¿¡¼­ ¾ç(+)ÀÇ »ó°ü°ü°è°¡ À½(-)ÀÇ »ó°ü°ü°èº¸´Ù ´õ Å©°Ô ³ªÅ¸³µ´Ù. ¶ÇÇÑ, »ó°ü°ü°è°¡ °¡Àå Å« ÁöÁ¡ÀÇ ÇØ¼ö¸é¿Âµµ¸¦ ÀÌ¿ëÇÏ¿© 3°³¿ùÀÇ ¿ù°­¿ì·®À» Áö¿ª°¡Áß´ÙÇ×½ÄÀ» ÅëÇØ ¿¹ÃøÇÏ¿´´Ù. Áö¿ª°¡Áß´ÙÇ×½ÄÀ» ÅëÇÑ ¿¹Ãø °á°ú´Â ±ºÁý¿¡ µû¶ó Á¤È®¼º¿¡ Â÷ÀÌ´Â ÀÖÀ¸³ª, Á¤·®ÀûÀÎ ¿¹ÃøÀÌ °¡´ÉÇÑ °ÍÀ¸·Î ÆÇ´ÜµÇ¾ú´Ù. µû¶ó¼­ ÇØ¼ö¸é¿Âµµ¿Í °°Àº ¼ö¹®±â»óÀÎÀÚ¸¦ ÅëÇÑ °­¿ì·®ÀÇ ¿¹Ãø¿¡ ´ëÇÑ Áö¼ÓÀûÀÎ ¿¬±¸°¡ ÇÊ¿äÇÏ´Ù.
Rainfall events in the hydrologic circulation are closely related with various meteorological factors. Therefore, in this research, correlation relationship was analyzed between sea surface temperature of typical meteorological factor and monthly rainfall on Korean peninsula. The cluster analysis was performed monthly average rainfall data, longitude and latitude observed by rainfall observatory in Korea. Results from cluster analysis using monthly rainfall data in South Korea were divided into 4 regions. The principal components of monthly rainfall data were extracted from rainfall stations separated cluster regions. A correlation analysis was performed with extracted principal components and sea surface temperatures. At the results of correlation analysis, positive correlation coefficients were larger than negative correlation coefficients. In addition, The 3 month of principal components on monthly rainfall predicted by locally weighted polynomial regression using observed data of sea surface temperature where biggest correlation coefficients have. The result of forecasting through the locally weighted polynomial regression was revealed differences in accuracy. But, this methods in the research can be analyzed for forecasting about monthly rainfall data. Therefore, continuous research need through hydrological meteorological factors like a sea surface temperature about forecasting of the rainfall events.
 
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»ó°üºÐ¼®;¿ù°­¿ì·®;ÇØ¼ö¸é¿Âµµ;°­¿ì ¿¹Ãø;correlation analysis;monthly rainfall;sea surface temperature;rainfall forecast;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.43, no.5, 2010³â, pp.471-482
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201016264960185)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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