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  1. No Access

    Article

    Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (ΙΙ)

    This paper presents the predictive accuracy using two-variate meteorological factors, average temperature and average humidity, in neural network algorithms. We analyze result in five learning architectures su...

    Ki-Hong Shin, Jae-Won Jung, Ki-Ho Chang… in Journal of the Korean Physical Society (2022)

  2. No Access

    Article

    Analysis of the network mechanism for sea surface temperatures around the Korean Peninsula

    The complex network in meteorological phenomena can be investigated from the sea surface temperature (SST) in the East, the Yellow, and the South Seas. For this study, we treat the Hurst exponents that are cal...

    Woon Seon Jung, Dong-In Lee, Young-Jean Choi… in Journal of the Korean Physical Society (2012)

  3. No Access

    Article

    Characterization of chemical properties of atmospheric aerosols over Anmyeon (South Korea), a super site under Global Atmosphere Watch

    This paper reports aerosol chemical properties for the first time over a Korean Global Atmosphere Watch (GAW) supersite, Anmyeon (36°32′N; 126° 19′E), during 2003–2004 period. Total suspended Particulates (TSP...

    Sung-Hwa Park, A. S. Panicker, Dong-In Lee… in Journal of Atmospheric Chemistry (2010)