¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹¼öÀÚ¿øÇÐȸ / v.39, no.10, 2006³â, pp.823-832
´Ù¸¥ ¿ø°ÝŽ»ç ¼¾¼­·Î ÃßÃâÇÑ °­¿ìÀÚ·áÀÇ ÀÌÁú¼º°ú ÀÌ¿¡ ÀÇÇÑ ºñ¼±ÇüÀ¯Ãâ¹ÝÀÀ¿¡ ¹ÌÄ¡´Â ¿µÇâ
( Investigating Remotely Sensed Precipitation from Different Sources and Their Nonlinear Responses in a Physically Based Hydrologic Model )
¿À³²¼±;À̱æÇÏ;±è»óÁØ; ¸ñÆ÷ÇØ¾ç´ëÇб³ ÇØ¾çÅä¸ñ°øÇаú;°æ¿ø´ëÇб³ GIS ¿¬±¸¼Ò;°æ¿ø´ëÇб³ Åä¸ñ°øÇаú;
 
ÃÊ ·Ï
°­¿ì´Â ¹°°ú ¿¡³ÊÁö ¼øÈ¯¿¡¼­ °¡Àå Áß¿äÇÑ ¿ªÇÒÀ» ÇÑ´Ù. ÀÌ ¿¬±¸¿¡¼­´Â µÎ°³ÀÇ ´Ù¸¥ ¿ø°ÝŽ»ç ¼¾¼­¸¦ ÀÌ¿ëÇÏ¿© ÃßÃâÇÑ °­¿ìÀÚ·áÀÇ ºÒÈ®½Ç¼º (uncertainty)¿¡ ´ëÇÏ¿© °ËÅäÇØ º¸¾ÒÀ¸¸ç, ÀÌ¿¡ ÀÇÇÑ ¿ÀÂ÷°¡ ºñ¼±Çü ¼öÄ¡¼ö¹®¸ðÇü¿¡¼­ ¼ö¹®ÀÎÀÚ(À¯Ãâ)¸¦ ¸ðÀÇÇÒ ¶§ ¾î¶»°Ô ¿µÇâÀ» ¹ÌÄ¡´Â°¡¸¦ »ìÆìº¸¾Ò´Ù. Áö»ó¿¡¼­ °üÃøµÈ °­¿ì °üÃøÀ» ÀÌ¿ëÇÏ¿© WSR-88D (NEXRAD)¿¡ ÀÇÇØ ÃßÃâÇÑ ·¹ÀÌ´õ °­¿ì, ±×¸®°í IR (Infrared) ¹êµå¸¦ ±â¹ÝÀ¸·Î ÇÏ´Â ÀΰøÀ§¼º °­¿ì°üÃøÀ» ºñ±³ °ËÅäÇÏ¿´À¸¸ç, ¼¼ °¡ÁöÀÇ ¼­·Î ´Ù¸¥ °­¿ì¿Í ÇöÀå¿¡¼­ ÃøÁ¤µÈ ±â»óÀڷḦ ÀÔ·Â ÀÚ·á·Î »ç¿ëÇÏ¿©, ¿ÀÇÁ¶óÀÎ CLM (Community Land Model) ¼ö¹®¸ðÇüÀ¸·Î À¯Ãâ·®À» ¸ðÀÇÇÏ¿´´Ù. ÀÌ ¿¬±¸¿¡¼­ ¹°¸®Àû ÀÌ·ÐÀ» ±â¹ÝÀ¸·Î ÇÏ´Â CLM¼ö¹® ¸ðÇüÀÇ ¸Å°³º¯¼ö´Â ÁöÇ¥¸é-´ë±âÀÇ ¼ö¹®¹ÝÀÀ (land-atmosphere interaction)À» ÀûÀýÇÏ°Ô ¹¦»çÇϵµ·Ï Á¤ÀǵǾú´Ù°í °¡Á¤ÇÑ´Ù. ´Ù¸¥ ¿ø°ÝŽ»ç ¼¾¼­¸¦ ÀÌ¿ëÇÏ¿© ÃßÃâÇÑ °­¿ìÀÚ·á´Â ½Ã°ø°£ÀûÀ¸·Î ´Ù¸¥ ¾ç»óÀ» º¸¿© ÁÖ¸ç, ¼öÄ¡¸ðÇüÀÇ ½ÇÇè °á°ú´Â °­¿ìÀÔ·ÂÀÇ ºÒÈ®½Ç¼ºÀÌ ¼ö¹®¹ÝÀÀÀÇ °á°ú¿¡ ¾î¶»°Ô ¿µÇâÀ» ¹ÌÄ¡´ÂÁö¸¦ º¸¿©ÁØ´Ù. ÀÌ ¿¬±¸´Â ¾ÕÀ¸·Î ¿ì¸®³ª¶ó¿¡¼­ °³¹ß ¹× Ȱ¿ë°¡´É¼ºÀÌ ÀÖ´Â ·¹ÀÌ´õ °­¿ì¿Í ÀΰøÀ§¼º °­¿ì¿¡ ´ëÇÑ »çÀü Áö½ÄÀ» Á¦°øÇϰí, µ¿½Ã¿¡ ¼öÄ¡ ¼ö¹®¸ðÇüÀ» ¼öÇàÇÒ ¶§ ¼ö¹®¹ÝÀÀÀÇ ºÒÈ®½Ç¼º¿¡ ´ëÇÑ Á¤º¸¸¦ Á¦°øÇØ ÁÖ¸ç, °á±¹Àº ±âÈÄ º¯È­¿¡ µû¸¥ ¼öÀÚ¿øÀÇ ÀçºÐ¹è¸¦ ÀÌÇØÇϴµ¥ À̹ÙÁöÇÒ °ÍÀÌ´Ù.
Precipitation is the most important component to the study of water and energy cycle in hydrology. In this study we investigate rainfall retrieval uncertainty from different sources of remotely sensed precipitation field and then probable error propagation in the simulation of hydrologic variables especially, runoff on different vegetation cover. Two remotely sensed rainfall retrievals (space-borne IR-only and ground radar rainfall) are explored and compared visually and statistically. Then, an offline Community Land Model (CLM) is forced with in situ meteorological data to simulate the amount of runoff and determine their impact on model predictions. A fundamental assumption made in this study is that CLM can adequately represent the physical land surface processes. Results show there are big differences between different sources of precipitation fields in terms of the magnitude and temporal variability. The study provides some intuitions on the uncertainty of hydrologic prediction via the interaction between the land surface and near atmosphere fluxes in the modelling approach. Eventually it will contribute to the understanding of water resources redistribution to the climate change in Korean Peninsula.
 
Ű¿öµå
°­¿ì;·¹ÀÌ´õ;precipitation;radar;IR;CLM;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.39, no.10, 2006³â, pp.823-832
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200604623538212)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿