Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Assessment of Outgoing Longwave Radiation using COMS : Cheongmi and Sulma Catchments

천리안 위성을 사용한 방출장파복사량 검증 : 청미천, 설마천

  • Baek, Jong Jin (Dept. of Civil and Environmental Engineering, Hanyang University) ;
  • Sur, Chanyang (Dept. of Civil and Environmental Engineering, Hanyang University) ;
  • Choi, Minha (Dept. of Civil and Environmental Engineering, Hanyang University)
  • 백종진 (한양대학교 건설환경공학과) ;
  • 서찬양 (한양대학교 건설환경공학과) ;
  • 최민하 (한양대학교 건설환경공학과)
  • Received : 2012.11.01
  • Accepted : 2013.01.31
  • Published : 2013.05.31
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Abstract

The outgoing longwave radiation (Rlu) for estimation of evapotranspiration is essential to understand energy balance of earth. However, the ground measurement based Rlu has a limitation that the observation can just stand for the exact site, not for an area. In this study, remote sensing technique is adopted to compensate the limitation of ground observation using the geostationary satellite. We calculated Rlu using Communication, Ocean and Meteorological Satellite (COMS). We validated Rlu from COMS with Cheongmicheon (CFK) and Sulmacheon (SMK) flux tower observations controlled by Hydrological Survey Center. The results showed that Rlu from COMS represented reasonable correlation with ground based measurement. Based on the results in this study, COMS will be able to be used for estimation of evapotranspiration.

방출장파복사량은 수치예보모형, 수문모형, 증발산 등에 사용되는 인자로 지구의 에너지 균형을 이해하는데 필수적이다. 현재 국내외에서는 이를 정확하게 관측하기가 어려우며, 또한 공간적인 제약이 따른다. 따라서, 본 연구에서는 원격탐사 기술을 적용함으로써 지상관측의 단점을 보완하기 위해 정지궤도 위성인 Communication, Ocean and Meteorological Satellite (COMS)를 사용하여 방출장파복사량(Outgoing Longwave Radiation, $R_{lu}$ )를 계산하였다. 이 자료의 검증을 위해 유량조사사업단에서운영 관리하는 청미천/설마천 Flux Tower의 자료를 사용하여 계산된 $R_{lu}$ 와 MODIS 위성자료를 사용하여 계산된 $R_{lu}$ 를 비교 및 검증하였다. 전반적으로 COMS의 자료가 높은 상관계수를 나타내어 COMS의 사용가능성을 보여주었다. 이러한 결과를 바탕으로 향후 COMS를 이용한 증발산 산정 연구를 할 계획이다.

Keywords

References

  1. Allen, R.G., Tasumi, M., and Trezza, R. (2007). "Satellitebased energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model." Journal of irrigation and drainage engineering, Vol. 133, No. 4, pp. 380-394. https://doi.org/10.1061/(ASCE)0733-9437(2007)133:4(380)
  2. Baek, J.J., and Choi, M.H. (2012). "Availability of Land Surface Temperature from the COMS in the Korea Peninsula." Korea Water Resources Association, Vol. 45, No. 8, pp. 755-765. https://doi.org/10.3741/JKWRA.2012.45.8.755
  3. Billesbach, D.P., and Arkebauer, T.J. (2012). "First longterm, direct measurements of evapotranspiration and surface water balance in the Nebraska SandHills." Agricultural and Forest Meteorology, Vol. 156, pp. 104-110. https://doi.org/10.1016/j.agrformet.2012.01.001
  4. Bisht, G., and Bras, R.L. (2010). "Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study." Remote Sensing of Environment, Vol. 114, No. 7, pp. 1522-1534. https://doi.org/10.1016/j.rse.2010.02.007
  5. Bisht, G., Venturini, V., Islam, S., and Jiang, L. (2005). "Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days." Remote Sensing of Environment, Vol. 97, No. 1, pp. :52-67. https://doi.org/10.1016/j.rse.2005.03.014
  6. Faure, F., Coste, P., and Kang, G. (2008). "The GOCI instrument on COMS mission-The first geostationary ocean color imager." Proceedings of 7th International Conference on Space Optics, 2008.
  7. Ha, K.J., Moon, J.Y., Kim, J.W., Chung, I.U., Oh, J.H., and Um, H.H. (1997) "The Characteristics of the Intraseasonal and Interannual Variations of OLR and Precipitation Simulated by YONU GCM Tr.7." Journal of Korean Society for Atmospheric Environment, Vol. 33, No. 1, pp. 1-15.
  8. Heiskanen, J., and Kivinen, S. (2008). "Assessment of multispectral, -temporal and -angular MODIS data for tree cover mapping in the tundra-taiga transition zone." Remote Sensing of Environment, Vol. 112. No. 5, pp. 2367-2380. https://doi.org/10.1016/j.rse.2007.11.002
  9. Heiskanen, J., Rautiainen, M., Korhonen, L., Mõttus, M., and Stenberg, P. (2011). "Retrieval of boreal forest LAI using a forest reflectance model and empirical regressions." International Journal of Applied Earth Observation and Geoinformation, Vol. 13, No. 4, pp. 595-606. https://doi.org/10.1016/j.jag.2011.03.005
  10. Ho, C.H., and Kang, I.S. (1998). "Changes in the Earth- Atmosphere Heat Budgets Due to A Doubling $CO_2$." Journal of Korean Society for Atmospheric Environment, Vol. 34, No. 4, pp. 670-676.
  11. Hong, K.O., Suh, M.S., and Kang, J.H. (2009). "Improvement of COMS Land Surface Temperature Retrieval Algorithm." The Korean Society of Remote Sensing, Vol. 25, No. 6, pp. 507-515. https://doi.org/10.7780/kjrs.2009.25.6.507
  12. Hong, G.M., Kwon, B.H., and Kim, Y.S. (2005), "Heat Fluxes in the Marine Atmospheric Surface Layer around the Korean Peninsula based on Satellite Data." The Korean Society for Fisheries and Marine Sciences Education, Vol. 17, No. 2, pp. 209-217.
  13. Hong, J.K., Kwon, H.J., Lim, J.H., Byun, Y.H., Lee, J.H., and Kim, J. (2009). "Standardization of KoFlux Eddy- Covariance Data Processing." Korean Journal of Agricultural and Forest Meteorology, Vol. 11, No. 1, pp. 19-26. https://doi.org/10.5532/KJAFM.2009.11.1.019
  14. Jang, K.C. (2009). "Mapping evapotranspiration using MODIS Products and MM5 data" Master's Thesis, Kangwon National University, Korea.
  15. Jeong, S.T., Jang, K.C., Kang, S.K., Kim, J., Hiroaki K., Minoru, G., Asanuma, J., Saigusa, N., Wang, S., and Han, S.J. (2009). "Evaluation of MODIS-derived Evapotranspiration at the Flux Tower Sites in East Asia." Korean Journal of Agricultural and Forest Meteorology, Vol. 11, No. 4, pp. 174-184. https://doi.org/10.5532/KJAFM.2009.11.4.174
  16. Jo, M.S., and Kim, J.W. (1996). "GCM Simulation of Precipitation and OLR in Relation to the Asian Monsoon." Journal of Korean Society for Atmospheric Environment, Vol. 32, No. 3, pp. 435-454.
  17. Jung, D.I., and Kang, J.W. (2009). "An Analysis of Changes in Pan Evaporation and Climate Values Related to Actual Evaporation." Korea Water Resources Association, Vol. 42, No. 2, pp. 117-129. https://doi.org/10.3741/JKWRA.2009.42.2.117
  18. Kim, G.H., Lee, L.S., Jung, J.H., and Won, S.Y. (2011). "A Comparative Analysis of Field Surveying Vegetation Data and NDVI from KOMPSAT-2 Satellite Imagery." Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 29, No. 4, pp. 405-411. https://doi.org/10.7848/ksgpc.2011.29.4.405
  19. Kim, Y.H., Cho, K.S., Kim, H.T., Um, H.H., and Choi, B.C. (2003). "Characteristics of the Seasonal Variation of the Radiation in a Mixed Forest at Kwangneung Arboretum" Journal ofKorean Society for Atmospheric Environment, Vol. 19, No. 3, pp. 285-295.
  20. Kwon, H.J., and Kim, J. (2010). "KoFlux's Progress : Background, Status and Direction." Korean Journal of Agricultural and Forest Meteorology, Vol. 12, No. 4, pp. 241-263. https://doi.org/10.5532/KJAFM.2010.12.4.241
  21. Kwon, H.J., Lee, J.H., Lee, Y.K., Lee, J.W., Jung, S.W., and Kim, J. (2007) "Seasonal Variations of Evapotranspiration Observed in a Mixed forest in the Seolmacheon Catchment." Korean Journal of Agricultural Forest Meteorology, Vol. 11, No. 1, pp. 39-47. https://doi.org/10.5532/KJAFM.2009.11.1.039
  22. Lee, S.H., Ahn, J.S., Kim, H.D., and Hwang, S.J. (2009). "Comparison Study on the Estimation Algorithm of Land Surface Temperature for MODIS Data at the Korean Peninsula." The Korean Environmental Sciences Society, Vol. 18, No. 4, pp. 355-367. https://doi.org/10.5322/JES.2009.18.4.355
  23. Makela, H., and Pekkarinen, A. (2004). "Estimation of forest stand volumes by Landsat TM imagery and stand-level field-inventory data." Forest Ecology and Management, Vol. 196, No. 2, pp. 245-255. https://doi.org/10.1016/j.foreco.2004.02.049
  24. Mu, Q., Heinsch, F.A. Zhao, M., and Runing, S.W. (2007). "Development of a global evapotranspiration algorithm based on MODIS and global meteorology data." Remote Sensing of Environment, Vol. 111, pp. 519-536. https://doi.org/10.1016/j.rse.2007.04.015
  25. Oh, S.N. (1992). "Estimation of the Earth Outgoing Longwave Radiation using a Infrared Radiation Transfer Model and Satellite Radiance Observation." Journal of Korean Society for Atmospheric Environment, Vol. 28, No. 4, pp. 465-478.
  26. Park, B.I. (2010b). "Difference of Synoptic Characteristics according to the Persistence of Rainfall in Korea during the Changma Season." The Korean Geographical Society, Vol. 45, No. 6, pp. 748-765.
  27. Park, N.W. (2010a). "Downscaling of Thematic Maps Based on Remote Sensing Data using Multi-Scale Geostatistics." Korean Journal of Remote Sensing, Vol. 26, No. 1, pp. 29-38. https://doi.org/10.7780/kjrs.2010.26.1.29
  28. Rivas, R., and Caselles, V. (2004). "A simplified equation to estimate spatial reference evaporation from remote sensing-based surface temperature and local meteorological data." Remote Sensing of Environment, Vol. 93, No. 1, pp. 68-76. https://doi.org/10.1016/j.rse.2004.06.021
  29. Rochdi, N., and Fernandes, R. (2008). "Intercalibration of Vegetation Indices from Landsat ETM+ and MODIS 500 Data for LAI Mapping." Geomatics Canada.
  30. Sur, C.Y., and Choi, M.H. (2011). "An intercomparison of two satellite data-based evapotranspiration approaches." Korean Wetlands Society, Vol. 13, No. 3, pp. 35-39.
  31. Wan, Z. (2007). "Collection-5 MODIS Land Surface Temperature Products Users' Guide." Santa Barbara: ICESS, University of California, Vol. 30, pp. 5-10.

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