김대휘

이름 : 김대휘
직함 : 박사 후 연구원
이메일 : kdhui@yonsei.ac.kr
전화 : 02-2123-4815
연구실 : 대기예측성 및 자료동화 연구실 / 과학관 530 B호
웹페이지 : https://apdal.yonsei.ac.kr

연구분야

  • Data assimilation
  • Polar Weather Prediction

학력

  • B.Sc (2015) in Atmospheric Sciences, Yonsei University, Seoul, Korea
  • Ph.d. (2023) in Atmospheric Sciences, Yonsei University, Seoul, Korea

수상내역

  • (2020.02) 우수논문상 (수상기관: 연세대학교 BK21 플러스 지구대기천문사업단)
  • (2019.02) 우수논문상 (수상기관: 연세대학교 BK21 플러스 지구대기천문사업단)
  • (2018.12) 정성기 동문 대학원생 우수논문상 (수상기관: 연세대학교)

논문

  • Kim, D.-H., and H. M. Kim, 2022: Deep learning for downward longwave radiative flux forecasts in the Arctic. Expert Systems With Applications, 210, 118547, https://doi.org/10.1016/j.eswa.2022.118547.
  • Kim, D.-H., and H. M. Kim, 2022: Effect of data assimilation in the Polar WRF with 3DVAR on the prediction of radiation, heat flux, cloud, and near surface atmospheric variables over Svalbard. Atmospheric Research, 272, 106155, https://doi.org/10.1016/j.atmosres.2022.106155.
  • Kim, H. M., and D.-H. Kim, 2021: Effect of boundary conditions on adjoint-based forecast sensitivity observation impact in a regional model. Journal of Atmospheric and Oceanic Technology, 38, 1233-1247, doi:10.1175/JTECH-D-20-0040.1.
  • Kim, D.-H., 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, doi:10.1080/ 15230430.2019.1676939.
  • Kim, D.-H., and H. M. Kim, 2018: Effect of assimilating Himawari-8 atmospheric motion vectors on forecast errors over East Asia, Journal of Atmospheric and Oceanic Technology, 35, 1737-1752, doi:10.1175/JTECH-D-17-0093.1.
  • Kim, H., H. M. Kim, M. K. Cho, J. Park, and D.-H. Kim, 2018: Development of the aircraft CO2 measurement data assimilation system to improve the estimation of surface CO2 fluxes using an inverse modeling system, Atmosphere, 28(2), 1-9, doi:10.14191/Atmos.2018.28.2.1. (in Korean with English abstract)
  • Noh, K., H. M. Kim, and D.-H. Kim, 2018: Development of the three-dimensional variational data assimilation system for the Republic of Korea Air Force operational numerical weather prediction system, Journal of the Korea Institute of Military Science and Technology, 21(3), 403-412, doi:10.9766/KIMST.2018.21.3.403. (in Korean with English abstract)