• Title/Summary/Keyword: CERES-ES4

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An Improved Estimation of Outgoing Longwave Radiation Based on Geostationary Satellite

  • Kim, Hyunji;Seo, Minji;Seong, Noh-hun;Lee, Kyeong-sang;Choi, Sungwon;Jin, Donghyun;Huh, Morang;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.195-201
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    • 2019
  • The Outgoing Longwave Radiation (OLR) is an important satellite-driven variable for understanding the Earth's energy budget balance. The geostationary OLR retrievals require angular and spectral integration using an empirical equation for irradiance flux-to-OLR from a regression analysis, which determines the accuracy of the narrowband satellite-based OLR. We selected homogeneous pixels which is satisfied less temporal-spatial variability of cloud, on three infrared channels (6.7, 10.8, $12.0{\mu}m$) of the first multipurpose geostationary satellite in Korea, namely the Communication, Ocean and Meteorological Satellite/Meteorological Imager (COMS/MI). Multiple regression analysis was performed to retrieve OLR with improved accuracy using selected parameters based on theoretical and physical significance. This algorithm yielded retrieval with higher accuracy than broadband-based OLR retrieval: RMSE of 10.54 to $3.81W\;m^{-2}$, and bias of -8.49 to $-0.07W\;m^{-2}$.