Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
권호 표지

Application of Common Land Model in the Nakdong River Basin, Korea for Simulation of Runoff and Land Surface Temperature

Common Land Model의 국내 적용성 평가를 위한 유량 및 지면온도 모의

  • Lee, Keon Haeng (Water Quality Control Center, National Institute of Environmental Research) ;
  • Choi, Hyun Il (Department of Civil Engineering, Yeungnam University) ;
  • Kwon, Hyun Han (Department of Civil Engineering, Chonbuk National University) ;
  • Kim, Sangdan (Department of Environmental Engineering, Pukyong National University) ;
  • Chung, Eu Gene (Water Quality Control Center, National Institute of Environmental Research) ;
  • Kim, Kyunghyun (Water Quality Control Center, National Institute of Environmental Research)
  • 이건행 (국립환경과학원 수질통합관리센터) ;
  • 최현일 (영남대학교 건설시스템공학과) ;
  • 권현한 (전북대학교 토목공학과) ;
  • 김상단 (부경대학교 환경공학과) ;
  • 정유진 (국립환경과학원 수질통합관리센터) ;
  • 김경현 (국립환경과학원 수질통합관리센터)
  • Published : 2013.03.30
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Abstract

A grid-based configuration of Land Surface Models (LSMs) coupled with a climate model can be advantageous in impact assessment of climate change for a large scale area. We assessed the applicability of Common Land Model (CoLM) to runoff and land surface temperature (LST) simulations at the domain that encompasses the Nakdong river basin. To establish a high resolution model configuration of a $1km{\times}1km$ grid size, both surface boundary condition and atmospheric inputs from the observed weather data in 2009 were adjusted to the same resolution. The Leaf Area Index (LAI) was collected from MODerate esolution Imaging Spectroradiometer (MODIS) and the downward short wave flux was produced by a nonstationary multi-site weather state model. Compared with the observed runoffs at the stations on Nakdong river, simulated runoffs properly responded to rainfall. The spatial features and the seasonal variations of the domain fairly well were captured in the simulated LSTs as well. The monthly and seasonal trend of LST were described well compared to the observations, however, the monthly averaged simulated LST exceeded the observed up to $2^{\circ}C$ at the 24 stations. From the results of our study, it is shown that high resolution LSMs can be used to evaluate not only quantity but also quality of water resources as it can capture the geographical features of the area of interest and its rainfall-runoff response.

Keywords

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