DOI QR코드

DOI QR Code

Improvement of Cloud Physics Parameterization in the KMA Earth System Model

기상청 지구시스템모델에서의 구름입자 수농도 모수화 방법 개선

  • Lee, Hannah (Department of Atmospheric Sciences, Yonsei University) ;
  • Yum, Seong Soo (Department of Atmospheric Sciences, Yonsei University) ;
  • Shim, Sungbo (Climate Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Boo, Kyung-On (Climate Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Cho, ChunHo (Foercast Research Laboratory, National Institute of Meteorological Research, KMA)
  • 이한아 (연세대학교 대기과학과 구름물리연구실) ;
  • 염성수 (연세대학교 대기과학과 구름물리연구실) ;
  • 심성보 (국립기상연구소 기후연구과) ;
  • 부경온 (국립기상연구소 기후연구과) ;
  • 조천호 (국립기상연구소 예보연구과)
  • Received : 2013.11.04
  • Accepted : 2013.12.11
  • Published : 2014.03.31

Abstract

In the Korea Meteorological Administration earth system model (HadGEM2-AO), cloud drop number concentration is determined from aerosol number concentration according to the observed relationship between aerosol and cloud drop number concentrations. However, the observational dataset used for establishing the relationship was obtained from limited regions of the earth and therefore may not be representative of the entire earth. Here we reestablished the relationship between aerosol and cloud drop number concentrations based on a composite of observational dataset obtained from many different regions around the world that includes the original dataset. The new relationship tends to provide lower cloud drop number concentration for aerosol number concentration < 600 $cm^{-3}$ and the opposite for > 600 $cm^{-3}$. This new empirical relationship was applied to the KMA earth system model and the historical run (1861~2005) is made again. Here only the 30 year (1861~1890) averages from the runs with the new and the original relationships between aerosol and cloud drop number concentrations (newHIST and HIST, respectively) were compared. For this early period aerosol number concentrations were generally lower than 600 $cm^{-3}$ and therefore cloud drop number concentrations were generally lower but cloud drop effective radii were larger for newHIST than for HIST. The results from the complete historical run with the new relationship are expected to show more significant differences from the original historical run.

Keywords

References

  1. Abdul-Razzak, H., and S. J. Ghan, 2000: A parameterization of aerosol activation 2. Multiple aerosol types. J. Geophys. Res., 105, 6837-6844. https://doi.org/10.1029/1999JD901161
  2. Climate Research Laboratory, National Institute of Meteorological Research, KMA, 2011: Climate change scenario report 2011 for responding to IPCC Assessment Report 5. Natl. I. Meter. Res., 117 pp.
  3. Gultepe, I., G. A. Isaac, W. R. Leaitch, and C. M. Banic, 1996: Parameterizations of marine stratus microphysics based on in situ observations: Implications for GCMS. J. Climate, 9, 345-357. https://doi.org/10.1175/1520-0442(1996)009<0345:POMSMB>2.0.CO;2
  4. Hudson, J. G., and S. S. Yum , 2001: Maritime/continental drizzle contrasts in small cumuli. J. Atmos. Sci., 58, 915-926. https://doi.org/10.1175/1520-0469(2001)058<0915:MCDCIS>2.0.CO;2
  5. Intergovernmental Panel on Climate Change (IPCC), 2007: Climate Change 2007: The Physical Science Basis: Working group I contribution to the fourth assessment report of the Intergovernmental Panel on Climate Change. edited by S. Solomon et al., Cambridge Univ. Press, New York, 996 pp.
  6. Jones, A., D. L. Roberts, and A. Slingo, 1994: A climate model study of indirect radiative forcing by anthropogenic sulphate aerosols. Nature, 370, 450-453. https://doi.org/10.1038/370450a0
  7. Jones, A, D. L. Roberts, M. J. Woodage, and C. E. Johnson, 2001: Indirect sulphate aerosol forcing in a climate model with an interactive sulphur cycle. J. Geophys. Res., 106, 20293-20310. https://doi.org/10.1029/2000JD000089
  8. Jones, A, J. Haywood, O. Boucher, B. Kravitz, and A. Robock, 2010: Geoengineering by stratospheric SO2 injection: results from the Met Office HadGEM2 climate model and comparison with the Goddard Institute for Space Studies ModelE. Atmos. Chem. Phys., 10, 5999-6006. https://doi.org/10.5194/acp-10-5999-2010
  9. Martin, G. M., D. W. Johnson, and A. Spice, 1994: The measurement and parameterization of effective radius of droplets in warm stratocumulus clouds. J. Atmos. Sci., 51, 1823-1842. https://doi.org/10.1175/1520-0469(1994)051<1823:TMAPOE>2.0.CO;2
  10. Pawlowska, H., and J. -L. Brenguier, 2000: Microphysical properties of stratocumulus clouds during ACE-2. Tellus, 52B, 868.
  11. Song, K. Y., and S. S. Yum, 2004: Maritime-continental contrasts of cloud microphysical during ACE-Asia. Asia-Pac. J. Atmos. Sci., 40, 177-189.
  12. Taylor, J. P., and A. McHaffie, 1994: Measurements of cloud susceptibility. J. Atmos. Sci., 51, 1298-1306. https://doi.org/10.1175/1520-0469(1994)051<1298:MOCS>2.0.CO;2
  13. Yum, S. S., J. G. Hudson, and Y. Xie, 1998: Comparisons of cloud microphysics with cloud condensation nuclei spectra over the summertime Southern Ocean. J. Geophys. Res., 103, 16625-16636. https://doi.org/10.1029/98JD01513
  14. Yum, S. S., and J. G. Hudson, 2002: Maritime/continental microphysical contrasts in stratus. Tellus, Ser. B, 54, 61-73. https://doi.org/10.1034/j.1600-0889.2002.00268.x
  15. Yum, S. S., and J. G. Hudson, 2004: Wintertime/summertime contrasts of cloud condensation nuclei and cloud microphysics over the Southern Ocean. J. Geophys. Res., 109, D06204, doi:10.1029/2003JD003864.