Rchr
J-GLOBAL ID:201401029990392923   Update date: Nov. 14, 2024

Kim Sunmin

Kim Sunmin
Affiliation and department:
Job title: Associate Professor
Research field  (1): Hydroengineering
Research keywords  (4): Modeling with Machine Learning ,  Realtime Flood Forecasting ,  Climate Change Impact Analysis ,  Frequency Analysis
Research theme for competitive and other funds  (11):
  • 2022 - 2025 Development of Hybrid Flood Forecasting System based on Rainfall Information from Machine Learning Algorithm
  • 2022 - 2025 Development of an ensemble data assimilation method to be introduced into a nation-wide distributed runoff model
  • 2017 - 2020 Deep Learning of Artificial Neural Network for Short-term Rainfall Forecasting
  • 2017 - 2020 Probabilistic and the largest-class evaluation of water-related disaster risk using large ensemble of future climate projections
  • 2014 - 2017 Reanalysis and Reproduce of Long-term Hydrologic Data using Limited Observation
Show all
Papers (94):
  • Y Kim, S Kim, Y Tachikawa. Analyzing uncertainty in probable maximum precipitation estimation with large ensemble climate simulation data. JOURNAL OF FLOOD RISK MANAGEMENT. 2024. 17. 1
  • Sunmin KIM, Masaharu SHIBATA, Yasuto TACHIKAWA. MACHINE LEARNING ON GCM ATMOSPHERIC VARIABLES FOR SPATIAL DOWNSCALING OF PRECIPITATION. Journal of JSCE. 2024. 12. 2. 23-16152
  • M Jeong, SG Han, W Sung, S Kim, J Min, MK Kim, W Choi, H Lee, D Lee, M Kim, et al. Photomultiplication-Type Organic Photodetectors with High EQE-Bandwidth Product by Introducing a Perovskite Quantum Dot Interlayer. ADVANCED FUNCTIONAL MATERIALS. 2023. 33. 27
  • H Eom, YJ Choi, R Nandre, HG Han, S Kim, M Kim, YL Oh, T Nakazawa, Y Honda, HS Ro. The Cas9-gRNA ribonucleoprotein complex-mediated editing of pyrG in Ganoderma lucidum and unexpected insertion of contaminated DNA fragments. SCIENTIFIC REPORTS. 2023. 13. 1. 11133
  • S Tanabe, T Muraki, K Yaginuma, S Kim, M Kano. Greedy design space construction based on regression and latent space extraction for pharmaceutical development. INTERNATIONAL JOURNAL OF PHARMACEUTICS. 2023. 642. 123178
more...
MISC (103):
  • 北口 慶一郎, 田中 智大, 立川 康人, 市川 温, 萬 和明, Sunmin Kim. d4PDFを用いた全国一級水系におけるダムの現在および将来の治水効果に関する分析. 水文・水資源学会研究発表会要旨集. 2021. 34. 0. 288
  • 西端亮裕, 市川温, 萬和明, 田中智大, KIM Sunmin, 立川康人. 河川水溶存シリカ濃度に基づく雨水流動過程の分析. 土木学会関西支部年次学術講演会講演概要集(Web). 2020. 2020
  • 加藤嵩史, 市川温, 萬和明, 田中智大, KIM Sunmin, 立川康人. 降雨流出過程のモデル化に内在する不確実性の分析. 土木学会関西支部年次学術講演会講演概要集(Web). 2020. 2020
  • 高見健斗, KIM Sunmin, 萬和明, 田中智大, 市川温, 立川康人. 降水ナウキャストのための気象レーダー画像の機械学習. 土木学会関西支部年次学術講演会講演概要集(Web). 2020. 2020
  • 小島冴斗, 萬和明, 田中智大, KIM Sunmin, 市川温, 立川康人. 大気大循環モデルMRI-AGCM3.2Hにおける土壌パラメータ設定に対する流出量への影響. 土木学会関西支部年次学術講演会講演概要集(CD-ROM). 2019. 2019
more...
Lectures and oral presentations  (4):
  • Invited Speaker, "Recent Application of Weather Radar Observation into Hydrologic Forecasting in Japan"
    (Standardizing Flood Forecasting and Warning Approaches in Transboundary Catchments, Lahore, Pakistan 2016)
  • Invited Speaker, "Improved Hydrologic Forecasting with Multiple Radar Observation Networks in Japan"
    (International Conference on Weather Forecast and Hydrological Applications of Radar, Jeju, Korea 2015)
  • Invited Speaker, "Recent Application of Weather Radar Observation into Hydrologic Forecasting in Japan"
    (2nd International Symposium On Flood Research And Management 2015, Shah Alam, Malaysia 2015)
  • Invited Speaker, "Estimating Worst Case Flood and Inundation Damages under Climate Change"
    (International Symposium of CIDB Malaysia, "Reconstruction to Prevent Future Disaster", Kuala Lumpur, Malaysia 2015)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page