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Validation of Energy and Water Fluxes Using Korea Land Data Assimilation and Flux Tower Measurement: Haenam KoFlux Site's Hydro-Environment Analysis

Flux Tower 관측자료와 KLDAS를 이용한 Soil-Vegetation-Atmosphere Transfer 모형의 적용:해남 KoFlux 지점의 수문순환 환경분석에 대하여

  • 김다은 (한양대학교 공과대학 건설환경공학과) ;
  • 임윤진 (연세대학교 이과대학 대기과학과/국가수리과학연구소 계산수리과학연구부) ;
  • 이승오 (홍익대학교 공과대학 토목공학과) ;
  • 최민하 (한양대학교 공과대학 건설환경공학과)
  • Received : 2011.01.21
  • Accepted : 2011.03.07
  • Published : 2011.06.30

Abstract

Accurate assessment of the water and energy cycles is essential to understand hydrologic, climatologic, and ecological processes. Common Land Model (CLM) is one of the well-developed Soil-Vegetation-Atmosphere Transfer (SVAT) models based on the water and energy balance equation for accurate prediction of hydro-environmental cycles. The CLM can estimate realistic and reliable results using relatively simple parameters. It has been widely used in the world, however in Korea practical applications of the CLM are rare due to lack of information and input data. In this study, the CLM with Korea Flux network (KoFlux) and Kore Land Data Assimilation System (KLDAS) data were individually validated for domestic applications. This study showed that all comparisons between observations and model results from KoFlux and KLDAS had reasonable correlation with determination coefficient of 0.73~1.00 via regression. The results confirmed the applicability of the CLM and the possibility of the KLDAS usage for the region where input data are not existed.

물과 에너지의 순환에 대한 정확한 해석은 수문학, 기후학, 생태학적인 과정을 이해하는데 있어 매우 중요하다. 수문 순환 환경변화의 정확한 예측을 위해 사용되고 있는 모형들 중 Common Land Model(CLM)은 물과 에너지수지 방정식을 기반으로 한 최신 Soil-Vegetation-Atmosphere Transfer(SVAT) 모형 중 하나로써, 비교적 간단한 매개변수를 이용하여 현실적이고 신뢰할 만한 결과를 산출해낼 수 있다. CLM 모형은 전 세계적으로 널리 이용되고 있으나, 국내에서는 정보의 부재와 입력자료의 미흡으로 인하여 실제적인 적용사례가 부족한 실정이다. 본 연구에서는 CLM의 국내 적용성 검증을 위하여 해남 Korea Flux Network(KoFlux)의 자료와 Korea Land Data Assimilation System(KLDAS)의 자료를 이용하여 수문순환 환경인자들의 모형 결과를 산출하였다. 모형의 결과와 관측자료의 비교에서 KoFlux와 KLDAS의 두 입력 자료를 사용한 결과 모두 회귀분석에서의 결정계수 값이 0.73~1.00의 신뢰할 만한 수준으로 나타났다. 본 연구에서 CLM의 국내 적용 가능성을 확인하였고 지점자료가 존재하지 않는 지역에 대한 KLDAS의 이용가능성을 또한 확인하였다.

Keywords

References

  1. 권효정, 박성빈, 강민석, 유재일, 렌민 유안, 김준(2007) KoFlux 관측지에서 에디 공분산 자료의 품질관리 및 보증, 한국농림기상학회지, 한국농림기상학회, 제9권, 제4호, pp. 260-267.
  2. 임윤진, 변건영, 이태영, 김준(2010a) 한반도지표자료동화체계를 이용한 증발산 추정, 수자원의 지속적 확보기술개발 사업단, TR 2010-11, pp. 76.
  3. 임윤진, 변건영, 이태영, 김준(2010b) 실측 기반의 한반도지표자료동화체계를 이용하여 추정된 증발산 평가, 한국농림기상학회지, 한국농림기상학회, 제12권, 제4호, pp. 298-306.
  4. 최현일(2008) 대규모 육지수문모형에서 사용 가능한 지표면 및 지표하 연계 물흐름 모형의 개발 : I. 모형설명, 한국방재학회논문집, 한국방재학회, 제8권, 제2호, pp. 59-63.
  5. Beven, K.J. and Kirkby, M.J. (1979) A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. Bull., Vol. 24, No. 1, pp. 43-69. https://doi.org/10.1080/02626667909491834
  6. Bonan, G.B., Oleson, K.W., Vertenstein, M., and Levis, S. (2002) The land surface climatology of the community land model coupled to the NCAR community climate model, Journal of Climate, Vol. 15, pp. 3123-3149. https://doi.org/10.1175/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2
  7. Choi, M., Jacobs J.M., and Bosch D.D. (2008) Remote sensing observatory validation of surface soil moisture using advanced microwave scanning radiometer E, common land model, and ground based data: case study in SMEX03 Little River Region, Georgia, U.S. Water Resources Research, Vol. 44, W08421.
  8. Choi, M., Jacobs, J.M., and Cosh, M.H. (2007) Scaled spatial variability of soil moisture fields, Geophysical Research Letters, Vol. 34, L01401.
  9. Calvet, J.C., Joel, N., Roujean, J.L., Bessemoulin, P., Cabelguenne, M., Oliosoc, A., and Wigneronc, J.P. (1998) An interactive vegetation SVAT model tested against data from six contrasting sites, Agricultural and Forest Meteorology, Vol. 92, pp. 73-95. https://doi.org/10.1016/S0168-1923(98)00091-4
  10. Choi, M., Lee, S.O., and Kwon, H. (2010) Understanding of the Common Land Model performance for water and energy fluxes in a farmland during the growing season in korea, Hydrol. Process. Vol. 24, pp. 1063-1071. https://doi.org/10.1002/hyp.7567
  11. Dai, Y., Zeng, X., Dickinson, R.E., Baker, I., Bonan, G.B., Bosilovich, M.G., Denning, A.S., Dirmeyer, P.A., Houser, P.R., Niu, G., Oleson, K.W., Schlosser, C.A., and Yang, Z.L. (2003) The common land model, American Meteorological Society, Vol. 84, No. 8, pp. 1013-1023. https://doi.org/10.1175/BAMS-84-8-1013
  12. Franks, S.W., Beven, K.J., Quinn, P.F., and Wright, I.R. (1997) On the sensitivity of soil-vegetation-atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration, Agricultural and Forest Meteorology, Vol. 86, pp. 63-75. https://doi.org/10.1016/S0168-1923(96)02421-5
  13. Hong, J., Kwon, H., Lim, J.H., Byun, Y.H., Lee, J., and Kim, J. (2009) Standardization of KoFlux Eddy-covariance data processing, Korean Journal of Agricultural and Forerst Meteorology, Vol. 2, pp. 19-26.
  14. Hong, J., Lee, H.C., Kim, J., Kim, B., Cho, C., and Lee, S. (2003) Inferring regional scale surface jeat flux around FK KoFlux site: from one point tower measurement to MM5 mesoscale model, Korean Journal of Agricultural and Forest Meteorology, Vol. 5, No. 2, pp. 138-149.
  15. Kustas, W.P., Humes, K.S., Norman, J.M., and Moran, M.S. (1996) Single-and dual-source modeling of surface energy fluxes with radiometric surface temperature, Journal of Applied Meteorology, Vol. 35, No. 1, pp. 110-121. https://doi.org/10.1175/1520-0450(1996)035<0110:SADSMO>2.0.CO;2
  16. Kwon, H. (2009) Estimation of net radiation in three different plant functional types in Korea, Korean Journal of Agricultural and Forest Meteorology, Vol. 11, No. 2, pp. 79-85. https://doi.org/10.5532/KJAFM.2009.11.2.079
  17. Lawrence, P.J. and Chase, T.N. (2007) Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0), Journal of Geophysical Research, Vol. 112, G01023.
  18. Liang, X.-Z., Wood, E.F., Lettenmaier, D.F., Lohmann, D., Boone, A., Chang, S., Chen, F., Dai, Y., Desborough, C., Dickinson, R.E., Duan, Q., Ek, M., Gusev, Y.M., Habets, F., Irannejad, P., Koster, R., Mitchell, K.E., Nasonova, O.N., Noilhan, J., Schaake, J., Schlosser, A., Shao, Y., Shmakin, A.B., Verseghy, D., Warrach, K., Wetzel, P., Xue, Y., Yang, Z., and Zeng, Q. (1998) The project for intercomparison of land-surface parameterization schemes (PILPS) phase-2c Red-Arkansas river basin experiment: 2. Spatial and temporal analysis of energy fluxes, Global and Planetary Change, Vol. 19, No. 1-4, pp. 137-159. https://doi.org/10.1016/S0921-8181(98)00045-9
  19. Liang, X.-Z., Choi, H.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, No. 18, pp. 1-28. https://doi.org/10.1175/EI151.1
  20. Lim, Y.-J., Byun, K.-Y., Lee, T.-Y., Kwon, H.-J., Hong, J., and Kim, J. (2011) A land data assimilation system using the MODISderived land data and its application to numerical weather prediction in East Asia, Asia-Pacific Journal of Atmospheric Sciences, Submitted.
  21. McCabe, F.M., Liu, Yi.Y., Vinukollu, R., Su, H., Evans, J.P., and Wood, E.F. (2009) Comparision of latent heat flux estimates over Australia, , Proc. of 18th World IMACS / MODSIM Congress, The Modelling and Simulation Society of Australia and New Zealand Inc. and the International Association for Mathematics and Computers in Simulation, Cairns, Australia, pp. 2805-2811.
  22. Moulin, S., Bondeau, A., and Delecolle, R. (1998) Combining agricultural crop models and satellite observations: from field to regional scales, International Journal of Remote Sensing, Vol. 19, No. 6, pp. 1021-1036. https://doi.org/10.1080/014311698215586
  23. Stockli, R., Lawrence, D.M., Hiu, G.-Y., Oleson, K.W., Thornton, P.E., Yang, Z.-L., Bonan, G.B., Denning, A.S., and Running S.W. (2008) Use of FLUXNET in the Community Land Model development, Journal of Geophysical Research, Vol. 113, G01025.
  24. Whitfield, B., Jacobs, J.M., and Judge, J. (2006) Intercomparison study of the land surface process model and the common land model for a prairie wetland in Florida, Journal of Hydrometeorology, Vol. 7, No. 6, pp. 1247-1258. https://doi.org/10.1175/JHM547.1
  25. Calvet, J.C., Joel, N., Roujean, J.L., Bessemoulin, P., Cabelguenne, M., Oliosoc, A., and Wigneronc, J.P. (1998) An interactive vegetation SVAT model tested against data from six contrasting sites, Agricultural and Forest Meteorology, Vol. 92, pp. 73-95. https://doi.org/10.1016/S0168-1923(98)00091-4