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Derivation of Geostationary Satellite Based Background Temperature and Its Validation with Ground Observation and Geographic Information
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  • Journal title : Korean Journal of Remote Sensing
  • Volume 31, Issue 6,  2015, pp.583-598
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2015.31.6.8
 Title & Authors
Derivation of Geostationary Satellite Based Background Temperature and Its Validation with Ground Observation and Geographic Information
Choi, Dae Sung; Kim, Jae Hwan; Park, Hyungmin;
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This paper presents derivation of background temperature from geostationary satellite and its validation based on ground measurements and Geographic Information System (GIS) for future use in weather and surface heat variability. This study only focuses on daily and monthly brightness temperature in 2012. From the analysis of COMS Meteorological Data Processing System (CMDPS) data, we have found an error in cloud distribution of model, which used as a background temperature field, and in examining the spatial homogeneity. Excessive cloudy pixels were reconstructed by statistical reanalysis based on consistency of temperature measurement. The derived Brightness temperature has correlation of 0.95, bias of 0.66 K and RMSE of 4.88 K with ground station measurements. The relation between brightness temperature and both elevation and vegetated land cover were highly anti-correlated during warm season and daytime, but marginally correlated during cold season and nighttime. This result suggests that time varying emissivity data is required to derive land surface temperature.
Brightness temperature;Cloud filtering;CMDPS;Land surface temperature;Land cover;
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