Publications

• 2008
  Moisture transport to Syowa and Dome Fuji stations in Antarctica

  Suzuki K., Yamanouchi T., Motoyama H.

  Journal of Geophysical Research 113(D24), D24114

  Peer-reviewedFirst & corresponding author
• 2021
  L11. Identifying the Snowfall Cloud at Syowa Station, Antarctica via a Convolutional Neural Network

  K. Suzuki, M. Shimomura, K. Nakamura, N. Hirasawa, H. Yabuki, T. Yamanouchi, T. Tokunaga

  Advances in Artificial Intelligence (JSAI2020), Advances in Intelligent Systems and Computing, Springer International Publishing (contributed chapter)

  Peer-reviewed
• 2019
  CNN-based detection of cloud patterns during snowfall in the Antarctic region

  K. Suzuki, T. Tokunaga, M. Fukuchi, N. Hirasawa, H. Yabuki, T. Yamanouchi

  Proceedings of the Meteorological Society of Japan Meeting (CD-ROM), (116)
• 2017
  Insights into long-range transport from trajectory analysis (Antarctic ice sheet and atmospheric material circulation/climate — Atmospheric, water, and material transport to Antarctica)

  T. Yamanouchi, K. Suzuki

  Meteorological Research Notes (233), 63–76
• 2013
  700,000-year climate record accurately dated from the Antarctic Dome Fuji ice core

  K. Kawamura, S. Aoki, T. Nakazawa, K. Suzuki, A. Abe-Ouchi

  Abstracts of the Japan Association for Quaternary Research 43, 66

• 2026
  Development of an automated snow-crystal imaging device and initial analysis of the 2025–2026 winter observations

  K. Sumiya, S. Kuramoto, K. Suzuki, H. Suzuki

  JpGU-AGU Joint Meeting 2026
• 2025
  Anomaly detection in Polarized Micro-Pulse Lidar observation data using f-AnoGAN

  Kei Nakamitsu, Kazue Suzuki, Masanori Yabuki, Kazuyuki Nakamura

  The 16th Symposium on Polar Science
• 2025
  Generative-AI detection of high-concentration aerosol events in PMPL observations at Syowa Station, Antarctica

  K. Suzuki, M. Nakamitsu, M. Yabuki, K. Nakamura

  Meteorological Society of Japan 2025 Fall Meeting
• 2024
  Application of sequential data assimilation method to trajectory analysis

  Kazue Suzuki, Shin'ya Nakano, Yoshihiro Tomikawa

  The 10th International Symposium on Data Assimilation (ISDA2024)
• 2024
  Building a data-driven atmospheric trace-substance transport model in the polar regions

  K. Suzuki, Y. Tomikawa, K. Hara, M. Yabuki, S. Nakano, N. Hirasawa

  JpGU 2024 Annual Meeting
• 2023
  Heavy Snow Cloud Detection in Satellite Images Based on Semi-Supervised Image Segmentation

  Lin Magari, Terumasa Tokunaga, Kazue Suzuki

  The 14th Symposium on Polar Science
• 2022
  The high-top cloud plays an efficient part in the moisture transport to the Antarctic

  Kazue Suzuki, Terumasa Tokunaga, Takashi Yamanouchi, Hideaki Motoyama

  4th International Atmospheric Rivers Conference

→ View all 82 talks on researchmap

• Reconstructing weather lore from multi-sensor data toward disaster-precursor prediction

  Grant-in-Aid for Scientific Research (B), PI: Hidehiko Suzuki (co-investigator)
  2026.04–2029.03
• Building a data-driven transport model bridging satellite and ground observations

  Grant-in-Aid for Scientific Research (B), Principal Investigator
  2024.04–2028.03
• Reading Antarctic precipitation from snow crystals

  ROIS Data Science Joint Research, ROIS-DS-JOINT 2025
  2025.07–2026.03
• Assessing Antarctic ice-sheet snowfall and surface melt from ground and satellite observations and their relation to warming

  JAXA Earth Observation Research Center (EORC) (PI: Naohiko Hirasawa)
  2022.04–2025.03
• Elucidating polar heat-transport mechanisms with machine learning

  Grant-in-Aid for Scientific Research (C), Principal Investigator
  2020.04–2024.03
• Building a machine-learning transport prediction system for atmospheric trace substances from Syowa Station

  ROIS-DS-JOINT 2021, Principal Investigator
  2021.07–2022.03
• Snowfall cloud detection and snowfall estimation using NOAA/AVHRR imagery

  ROIS-DS-JOINT 2019, Principal Investigator
  2019.07–2020.03
• Cloud extraction and snowfall estimation for disturbances around Antarctica using machine learning

  Grant-in-Aid for Young Scientists (B), Principal Investigator
  2016.04–2020.03
• High-resolution atmospheric composition analysis of an Antarctic ice core: elucidating climate, ocean, and ice-sheet variability during deglaciation

  Grant-in-Aid for Scientific Research (A) (PI: Kenji Kawamura / National Institute of Polar Research)
  2014.04–2017.03
• Elucidating multi-timescale global environmental change through integrated ice-core analysis

  Grant-in-Aid for Scientific Research (Young Scientists S) (PI: Kenji Kawamura et al.)
  2009.05–2014.03
• Development of a Bayesian dating method for the Antarctic ice core

  Grant-in-Aid for Scientific Research (S) (PI: Hideaki Motoyama / National Institute of Polar Research)
  2009.04–2014.03

All 16 funded projects are listed on researchmap.