Construction of Surface Boundary Conditions for the Regional Climate Model in Asia Used for the Prevention of Disasters Caused by Climate Changes

기상방재 대책수립을 위한 아시아지역 기상모형에 필요한 지표경계조건의 구축

  • Choi, Hyun-Il (Center for Atmospheric Science, Illinois State Water Survey)
  • Published : 2007.12.31

Abstract

It has been increasing that significant loss of life and property due to global wanning and extreme weather, and the climate and temperature changes in Korea Peninsula are now greater than the global averages. Climate information from regional climate models(RCM) at a finer resolution than that of global climate models(GCM) is required to predictclimate and weather variability, changes, and impacts. The new surface boundary conditions(SBCs) development is motivated by the limitations and inconsistencies of existing SBCs that have influence on model predictability. A critical prerequisite in constructing SBCs is that the raw data should be accurate with physical consistency across all relevant parameters and must be appropriately filled for missing data if any. The aim of this study is to construct appropriate SBCs for the RCM in Asia domain which will be used for the prevention of disasters due to climate changes. As all SBCs have constructed onto the 30km grid-mesh of the RCM suitable for Asia applications, they can be also used for other distributed models for climate and hydrologic studies.

전세계적으로 지구온난화와 기상이변으로 인한 인명과 재산의 피해는 해마다 증가하고 있으며, 최근 한반도의 기후와 기온은 지구평균치보다 큰 변화가 일어나고 있다. 지구전체기상모형(Global Climate Model 또는General Circulation Model GEM)보다 고해상도의 모의가 가능한 지역기상모형(Regional Climate Model RCM)은 기후 변동, 변화 및 그 영향과 관련된 여러 문제들을 파악하는데 사용된다. 이러한 기상모형을 위한 기존 입력자료들의 가용성, 정확도, 그리고 일관성의 결여로 인하여 제한되고 있는 모형의 예측능력 향상을 위해 새로운 지표경계조건들(Surface Boundary Condition SBC)의 필요성이 요구되고 있다. 따라서, 정확도 높은 측정자료의 확보와 과학적 근거에 의한 자료선택 및 결측보정이 새로운 지표경계조건 구축에 선결조건이 되어야 한다. 이 연구의 목적은, 기상방재 수립을 위한 아시아 지역기상모형에 필요한 정확도 높은 지표경계조건 자료를 구축하는데 있다. 산정된 지표경계조건들은 30km 크기의 격자망으로 구성된 한반도를 포함한 아시아 지역기상모형의 계산망에 대해 구축되어, 이 지역의 기상 및 수문 예측모의를 위한 다른 분포형모형들의 입력자료로도 사용이 가능하다.

Keywords

References

  1. 기상연구소 기후연구실 (2004) 한반도 기후 100년 변화와 미래 전망. 연구보고서
  2. Buermann, W., Wang, Y., Dong, J., Zhou, L., Zeng, X., Dickinson, R.E., Potter, C.S., and Myneni, R.B. (2002) Analysis of a Multiyear Global Vegetation Leaf Area Index Data Set. J. Geopbys. Res., Vol. 107, No. 4646, doi:10.1029/2001JD000975
  3. Cosby, B.J., Hornberger, G.M., Clapp, R.B., and Ginn, T.R. (1984) A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils. Water Resour. Res., Vol. 20, pp. 682-690 https://doi.org/10.1029/WR020i006p00682
  4. Dai, Y., Zeng, X., Dickinson, RE., and co-authors. (2001) The Common Land Model (CLM): Technical Documentation and User's Guide
  5. Dai, Y., Zeng, X., Dickinson, RE., Baker, I., Bonan, G.B., Bosilovich, M.G., Denning, AS., Dirmeyer, P.A, Houser, P.R., Niu, G., Oleson, K.W., Schlosser, C.A. and Yang, Z.-L. (2003) The Common Land Model. Bull. Amer. Meteor. Soc., Vol. 84, pp. 1013-1023 https://doi.org/10.1175/BAMS-84-8-1013
  6. FAO (Food and Agriculture Organization). (1996) The Digitized Soil Map of the World Including Derived Soil Properities. CD-ROM, Rime, France
  7. IPCC (Intergovernmental Panel on Climate Change) . (2007) Fourth Assessment Report, Climate Change 2007 - Summary for Policymakers
  8. Liang, X.-Z., Choi, R.I., Kunkel, K.E., Dai, Y., Joseph, E., Wang, J.X.L., and Kumar, P. (2005) Surface Boundary Conditions for Mesoscale Regional Climate Models. Earth Interactions, Vol. 9, Paper 18
  9. Reynolds, C.A., Jackson, T.J., and Rawls, W.J. (2000) Estimating Soil Water-holding Capacities by Linking the Food and Agriculture Organization Soil Map of the World with Global Pedon Databases and Continuous Pedotransfer Functions. Water Resources Research, Vol. 36, pp. 3653-3662 https://doi.org/10.1029/2000WR900130
  10. Zeng, X., Dickinson, R.E., Walker, A., Shaikh, M., DeFries, RS., and Qi, J. (2000) Derivation and Evaluation of Global 1-km Fractional Vegetation Cover Data for Land Modeling. J. Appl. Meteor., Vol. 39, pp. 826-839 https://doi.org/10.1175/1520-0450(2000)039<0826:DAEOGK>2.0.CO;2
  11. Zeng, X., Shaikh, M., Dai, Y., Dickinson, R.E., and Myneni, R (2002) Coupling of the Cornmon Land Model to the NCAR Community Climate Model. J. Climate, Vol. 15, pp. 1832-1854 https://doi.org/10.1175/1520-0442(2002)015<1832:COTCLM>2.0.CO;2
  12. Zhou, L., Tucker, C.J.. Kaufmann, R.K., Slayback, D., Shabanov, N.V., and Myneni, R.B. (2001) Variations in Northern Vegetation Activity Inferred from Satellite Data of Vegetation Index During 1981 to 1999. J. Geopbys. Res., Vol. 106, pp. 20069-20083 https://doi.org/10.1029/2000JD000115