Changes in the Characteristics of Wintertime Climatology Simulation for METRI AGCM Using the Improved Radiation Parameterization

METRI AGCM의 복사 모수화 개선에 따른 겨울철 기후모의의 특징적 변화

  • Lim, Han-Cheol (Climate Research Laboratory, National Institute of Meteorological Research / Korea Meteorological Administration) ;
  • Byun, Young-Hwa (Climate Research Laboratory, National Institute of Meteorological Research / Korea Meteorological Administration) ;
  • Park, Suhee (Climate Research Laboratory, National Institute of Meteorological Research / Korea Meteorological Administration) ;
  • Kwon, Won-Tae (Climate Research Laboratory, National Institute of Meteorological Research / Korea Meteorological Administration)
  • 임한철 (국립기상연구소 기후연구과) ;
  • 변영화 (국립기상연구소 기후연구과) ;
  • 박수희 (국립기상연구소 기후연구과) ;
  • 권원태 (국립기상연구소 기후연구과)
  • Received : 2008.12.12
  • Accepted : 2009.04.03
  • Published : 2009.06.01

Abstract

This study investigates characteristics of wintertime simulation conducted by METRI AGCM utilizing new radiation parameterization scheme. New radiation scheme is based on the method of Chou et al., and is utilized in the METRI AGCM recently. In order to analyze characteristics of seasonal simulation in boreal winter, hindcast dataset from 1979 to 2005 is produced in two experiments - control run (CTRL) and new model's run (RADI). Also, changes in performance skill and predictability due to implementation of new radiation scheme are examined. In the wintertime simulation, the RADI experiment tends to reduce warm bias in the upper troposphere probably due to intensification of longwave radiative cooling over the whole troposphere. The radiative cooling effect is related to weakening of longitudinal temperature gradient, leading to weaker tropospheric jet in the upper troposphere. In addition, changes in vertical thermodynamic structure have an influence on reduction of tropical precipitation. Moreover, the RADI case is less sensitive to variation of tropical sea surface temperature than the CTRL case, even though the RADI case simulates the mean climate pattern well. It implies that the RADI run does not have significant improvement in seasonal prediction point of view.

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