Ecosystem-Atmosphere Process Study

Yonsei University

J. Hong's Lab

Ecosystem-Atmosphere Process Laboratory

Department of Atmospheric Sciences, Yonsei University, Seoul, Korea 03722

For more information and question, please send email to us [jhong (at) yonsei. ac. kr]

Research Interest

  • Urban Climate and Environment

  • Biosphere-Atmosphere-Energy Interaction

  • Planetary Boundary Layer and Atmospheric Turbulence

  • Local-Regional-Global Carbon and Water Cycles in Atmospheric Models

Research Highlight

  • Urban climate and environment

    1. Hong, J.-W., S. D. Lee, K. M. Lee, and J. Hong (2020) Seasonal variation of surface energy and CO2 flux over a high-rise high-population residential urban area in East Asian monsoon region, International Journal of Climatology, 40, 4384-4407, https://doi.org/10.1002/joc.6463.

    2. Hong, J.-W., J. Hong, J. Chun, Y. Lee, L. Chang, J. Lee, K. Yi, Y. Park, Y. Byun, and S. Joo (2019) Comparative assessment of net CO2 exchange across an urbanization gradient in Korea based on in situ observation, Carbon Balance and Management, https//doi.org/10.1186/s13021-019-0128-6.

    3. Hong, J.-W., J. Hong, E. Kwon, and D. Yoon (2019) Temporal dynamics of urban heat island correlated with the socio-economic development over the past half-century in Seoul, Korea, Environmental Pollution, https://doi.org/10.1007/s10546-019-00452-5.

    4. Lee, J. H., J.-W. Hong, K. M. Lee, J. Hong, E. Velasco, Y. Lim, J. Lee. K. Nam, and J. Park (2019) Ceilometer monitoring of boundary layer height in Seoul and its application to evaluate the dilution effect on air pollution, Boundary-Layer Meteorology, 171, 435-455.

    5. Hong, J.-W. and J. Hong (2016) Changes in urban heat environment with residential redevelopment in the Seoul metropolitan area, Journal of Applied Meteorology and Climatology, 55, 1091-1106.


  • Modeling of the land-atmosphere interactions

    1. Lee, J., J. Hong, Y. Noh, and P. Jiménez (2020) Implementation of a roughness sublayer parameterization in the Weather Research and Forecasting model (WRF version 3.7.1) and its validation for regional climate simulations, Geoscientific Model Development, 13, 521-536.

    2. Lee, J. and J. Hong (2016) Implementation of space borne LiDAR-retrieved forest canopy height in the WRF model, Journal of Geophysical Research: Atmosphere, 121, https://doi:10.1002/2015JD024299.

    3. Hong, J. and J. Kim (2011) Impact of the Asian monsoon climate on ecosystem carbon and water exchanges: A wavelet analysis and its ecosystem modeling implication, Global Change Biology, 17, 1900-1916.

    4. Hong, J. and J. Kim (2010) Numerical study of surface energy partitioning on the Tibetan plateau: Comparative analysis of two biosphere models, Biogeosciences, 7, 557-568.


  • Energy-Climate interaction

    1. Hong, J. and W.-S. Kim (2015) Weather impact on electrical power load: Partial phase synchronization analysis, Meteorological Applications, 22, 811-816.

    2. Lee, W. and J. Hong (2015) A hybrid dynamic and fuzzy time series model for mid-term power load forecasting, International Journal of Electrical Power & Energy Systems, 64, 1057-1062.


  • Arctic study

    1. Kim, J., J. Lee, J.-W. Hong, J. Hong, J. Koo, J. Kim, J. Yun, S. Nam, J. Jung, T. Choi, and B. Lee (2020) Evaluation of land-atmosphere processes of the Polar WRF in the summertime Arctic tundra, Atmospheric Research, 240, 104946, https://doi.org/10.1016/j.atmosres.2020.104946.

    2. Kim, D., H. M. Kim, and J. Hong (2019) Evaluation of wind forecasts over Svalbard using the high-resolution Polar WRF with 3DVAR, Arctic, Antarctic, and Alpine Research, 51,471-489.