한국농림기상학회지 (Korean Journal of Agricultural and Forest Meteorology)
- 제7권2호
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- Pages.171-183
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- 2005
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- 1229-5671(pISSN)
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- 2288-1859(eISSN)
MODIS 총일차생산성 산출물의 오차요인 분석: 입력기상자료의 영향
Errors of MODIS product of Gross Primary Production by using Data Assimilation Office Meteorological Data
- Kang Sinkyu (Department of Environmental Science, Kangwon National University) ;
- Kim Youngil (Graduate School of Environment Studies) ;
- Kim Youngjin (Department of Environmental Science, Kangwon National University)
- 발행 : 2005.06.01
초록
In order to monitor the global terrestrial carbon cycle, NASA (National Aeronautics and Space Administration) provides 8-day GPP images by use of satellite remote-sensing reflectance data from MODIS (Moderate Resolution Imaging Spectroradiometer) at l-km nadir spatial resolution since December, 1999. MODIS GPP algorithm adopts DAO (Data Assimilation Office) meteorological data to calculate daily GPP. By evaluating reliability of DAO data with respect to surface weather station data, we examined the effect of errors from DAO data on MODIS GPP estimation in the Korean Peninsula from 2001 to 2003. Our analyses showed that DAO data underestimated daily average temperature, daily minimum temperature, and daily vapor pressure deficity (VPD), but overestimated daily shortwave radiation during the study period. Each meteorological variable resulted in different spatial patterns of error distribution across the Korean Peninsula. In MODIS GPP estimation, DAO data resulted in overestimation of GPP by