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Çѱ¹¼öÀÚ¿øÇÐȸ / v.40, no.3, 2007³â, pp.191-204
¼öÀÚ¿ø¿¡ ´ëÇÑ ±âÈĺ¯È­ ¿µÇâÆò°¡¸¦ À§ÇÑ °íÇØ»óµµ ½Ã³ª¸®¿À »ý»ê(I): À¯¿ªº° ±âÈĽóª¸®¿À ±¸Ãà
( Generation of High Resolution Scenarios for Climate Change Impacts on Water Resources (I): Climate Scenarios on Each Sub-basins )
¹è´öÈ¿;Á¤ÀÏ¿ø;±Ç¿øÅÂ; ¼¼Á¾´ëÇб³ ¹°ÀÚ¿ø¿¬±¸¼Ò.Åä¸ñȯ°æ°øÇаú;¼¼Á¾´ëÇб³ Åä¸ñȯ°æ°øÇаú;±â»ó¿¬±¸¼Ò ±âÈÄ¿¬±¸½Ç;
 
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º» ¿¬±¸¿¡¼­´Â ±âÈĺ¯È­°¡ ±¹³» ¼öÀÚ¿ø¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» Æò°¡Çϱâ À§ÇØ °íÇØ»óµµ($27km;{ imes};27km$)ÀÇ SRES A2 ½Ã³ª¸®¿À¿Í LARS-WG¸¦ ÀÌ¿ëÇÏ¿© ±¹³» 139°³ ¼ÒÀ¯¿ªº° ±âÈĽóª¸®¿À¸¦ »ý»êÇÏ¿´´Ù. º» ¿¬±¸¿¡¼­ »ç¿ëµÈ °íÇØ»óµµ ½Ã³ª¸®¿À´Â ¾à 350km ¼öÆòÇØ»óµµÀÇ ECHO-G ÀڷḦ NCAR/PSU MM5¸¦ ÀÌ¿ëÇÏ¿© 27km ¼öÆòÇØ»óµµ·Î »ó¼¼È­ÇÑ °ÍÀÌ´Ù. A2 ½Ã³ª¸®¿À´Â ¿ì¸®³ª¶óÀÇ °ø°£Àû °­¼öƯ¼ºÀ» ºñ±³Àû Àß ¸ð»çÇÏ¿´À¸³ª, ÇѰ­°ú ±Ý°­À¯¿ªÀÇ °­¼ö·®ÀÌ Àû°Ô ¸ðÀǵǴ ¹®Á¦Á¡À» º¸¿´´Ù. ÀÌ·¯ÇÑ ±âÈĸðÇüÀÇ ÇѰ踦 ±Øº¹Çϰí À¯¿ª½ºÄÉÀÏÀÇ ½Å·Ú¼º ³ôÀº ±âÈĽóª¸®¿À¸¦ »ý»êÇϱâ À§ÇØ Àϱâ»ó¹ß»ý±âÀÎ LARS-WG¸¦ ¼±Á¤ÇÏ°í ±¹³» ±âÈĸðÀÇ¿¡ ´ëÇÑ Àû¿ä¼ºÀ» Æò°¡ÇÏ¿´´Ù. LARS-WG¸¦ ÀÌ¿ëÇÑ ±âÈĸðÀÇ °á°ú ¿ùÆò±ÕÃÖ´ë.ÃÖ¼Ò±â¿Â°ú ¿ùÆò±Õ°­¼ö·®Àº °üÃøÄ¡¿¡ Æò±Õ¿¡¼­´Â ${pm}20%$, Ç¥ÁØÆíÂ÷¿¡¼­´Â ${pm}50%$ À̳»·Î ±âÈĺ¯È­¿¡ µû¸¥ ¼öÀÚ¿ø ¿µÇâÆò°¡ÀÇ ¸ñÀûÀ¸·Î Àû¿ë¼ºÀÌ ³ô´Ù°í ÆÇ´ÜµÇ¾ú´Ù. ¶ÇÇÑ LARS-WG¸¦ ÀÌ¿ëÇÏ¿© À¯¿ªº° ½Ã³ª¸®¿À¸¦ »ý»êÇÏ°í °üÃøÄ¡¿Í ºñ±³ÇÑ °á°ú ±âÈĸðÇü¿¡¼­ ¸ðÀÇÇÏÁö ¸øÇÏ´Â Áö¿ªÀûÀÎ ±âÈÄÆ¯¼ºÀ» Àß ¹Ý¿µÇÏ´Â °ÍÀ¸·Î ºÐ¼®µÇ¾ú´Ù.
To evaluate the climate change impacts on water resources, this study generates and analyzes the climate change scenarios for 139 sub-basins in Korea using high resolution ($27km;{ imes}; 27km$) SHES A2 scenario and LARS-WG. The $27km;{ imes}; 27km$ high resolution NCAR/PSU MM5 scenario is downscaled from 350km horizontal resolution ECHO-G data. The A2 scenario relatively well reproduced Korean spatial precipitation characteristics, but it underestimated the precipitation over the Han River and the Gum River basins. The LARS-WG was selected and evaluated to overcome the limitation of climate model and to create a highly reliable climate scenario. The results show that the monthly mean minimum and maximum temperature and monthly mean precipitation are within ${pm}20%$ from the observed mean, and ${pm}50%$ from the standard deviation that represents the generated data are highly reliable. Moreover, the comparison results between observed data and generated data from LARS-WG show that the latter can reflect the regional climate characteristic very well that can not be simulated from the former.
 
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±âÈĺ¯È­;¼öÀÚ¿ø;A2 ½Ã³ª¸®¿À;LARS-WG;Climate Change;Water resources;A2 scenario;LARS-WG;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.40, no.3, 2007³â, pp.191-204
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200727542971209)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

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