研究

論文

No. Author(s), Published Year: Title, Journal, Volume, Pages. [doi]

  1. Nguyen‑Le, D., T. Ngo‑Duc and J. Matsumoto, 2025: The teleconnection of the two types of ENSO and Indian Ocean Dipole on Southeast Asian autumn rainfall anomalies, Climate Dynamics, 62, 5283–5305. [doi].
  2. Tana, E. A. S, L. M. P. Olaguera, S. M. A. Visaga, A. M. T. Magnaye, A. G. A. Llorin, F. A. T. Cruz, J. R. T. Villarin, and J. Matsumoto, 2025: Assessing the performance of GSMaP and IMERG in representing the diurnal cycle of precipitation in the Philippines during the southwest monsoon season, Atmospheric Research, 317, 107983. [doi].
  3. Li, W., K. Ichii, B. Zhang, Y. Yamamoto, W. Yang, T. Miura, H. Yoshioka, M. Matsuoka, K. Obata, R. C. Sharma, H. Yamamoto, H. Irie, P. Khatri, B. Liley, I. Morino, H. Takenaka, A. Higuchi, 2025: Estimating land surface reflectance from a next-generation geostationary meteorological satellite, Himawari-8/9 AHI, J. Meteorol. Soc. Japan, 103 (1), 87-109. [doi].
  4. Nguyen Thi Huyen Trang, Taiga Mitsuyuki, Yoshiaki Hirakawa, Katsuaki Sadakata, Yuki Nakamura, 2025: Experimental and Numerical Study on the Seakeeping Performance of a Wind-Powered Generation Ship Considering Boom Configurations, Journal of Marine Science and Engineering, Volume 13, Issue 2, 412. [url] [doi].
  5. Yamaguchi, M., Y. Ikuta, K. Ito, and M. Satoh, 2025: Feasibility of utilizing data-driven models for typhoon forecasting at operations, J. Meteor. Soc. Japan, 103, 3xx-3xx. [doi]
  6. Abe, M., H. Fudeyasu, and M. Sasaoka, 2025: Historical review of research activities toward typhoons/hurricanes modification in Japan and the United States, J. Meteor. Soc. Japan, 103, 305-320. [doi]
  7. Maru, E., K. Ito, and H. Yamada, 2025: Analysis of tropical cyclone rapid intensification in the southwest pacific region, J. Meteor. Soc. Japan, 103, 201-218. [doi]
  8. Ito, K., Y. Miyamoto, C.-C. Wu, A. Didlake, J. Hlywiak, Y.-H. Huang, T.-K. Lai, L. Pattie, N. Qin, U. Shimada, D. Tao, Y. Yamada, J. A. Zhang, S. Kanada, and D. Herndon, 2025: Recent research and operational tools for improved understanding and diagnosis of tropical cyclone inner core structure, J. Meteor. Soc. Japan, 103, 147-180. [doi]
  9. Fudeyasu H., K. Ito, N. Mori, Y. Kiyohara, Y. Araki, T. Miyashita, and H. Yoshioka, 2025: Demonstration of artificial bay windbreak experiments for reduction of typhoon winds and resultant storm surges in Tokyo bay, SOLA, 21, 85-93. [doi]
  10. Benoit Denis Louis Campeon, Tetsuya Ishikawa, Tomohiro Kuriyama and Naoaki Yabuuchi, 2025: Mechanistic Study on Moisture Exposure of Ti-based Layered Oxides for Sodium Storage Applications, Journal of Materials Chemistry A, Vo. 13, . [doi]
  11. Kawabata, Y., M. Yamaguchi, H. Fudeyasu and R. Yoshida, 2024: Assessing global ensemble systems’ forecasts of tropical cyclone genesis in differing environmental flow regimes in the western North Pacific, Tropical Cyclone Research and Review, Volume 13, Pages 344-355. [doi]
  12. Kalingga Titon Nur Ihsana, H. Takenaka, A. Higuchi, Anjar Dimara Saktih, Ketut Wikantika, 2024: Solar irradiance variability around Asia Pacific: Spatial and temporal perspective for active use of solar energy, Solar Energy, 276, 112678. [doi]
  13. Takasuka, D., Satoh, M., Miyakawa, T., Kodama, C., Klocke, D., Stevens, B., Vidale, P. L., and Terai, C. R., 2024: A protocol and analysis of year-long simulations of global storm-resolving models and beyond., Progress in Earth and Planetary Science, Vol. 11, paper number 66. [doi]
  14. Yosuke Ugata , Tomohiro Kuriyama and Naoaki Yabuuchi, 2024: Efficient Pathways to Improve Electrode Performance of P’2 Na2/3MnO2 for Sodium Batteries, Chemical Communications, 4, . [doi]
  15. Hao-Yan Liu, Zhe-Min Tan, Yuqing Wang, Jianping Tang, Masaki Satoh, Lili Lei, Jian-Feng Gu, Gao-Zhen Nie, Qi-Zhi Chen, 2024: A Hybrid Machine Learning/Physics-Based Modeling Framework for Two-Week Extended Prediction of Tropical Cyclones, J. Goephys. Res.: Machine Learning and Computation, Volume 1, Issue 3, .[doi]
  16. Olaguera, L.M., Manalo, J.A., Bathan. A., Matsumoto, J., 2024: Quantifying the influence of the Madden-Julian Oscillation on rainfall extremes during the northeast monsoon season of the Philippines, Atmospheric Science Letters, .
  17. Taña, E, A., Olaguera, L.M., Llorin, A.G.A., Dado, J.M., Cambaliza, M.O., Cruz, F.A., Villarin, J.M.T., Matsumoto, J., 2024: Patterns and drivers of heavy and extreme hourly rainfall events over Metro Manila, Philippines, Theoretical and Applied Climatology, .
  18. Kuo, W.-C., K. Yamashita, M. Murakami, T. Tajiri, and N. Orikasa, 2024: Numerical simulation on feasibility of rain enhancement by hygroscopic seeding over Kochi area, Shikoku, Japan, in early summer, J. Meteor. Soc. Japan, 102, 429-443. [doi]
  19. Aizawa, M., K. Ito, and U. Shimada, 2024: Revisiting Koba’s relationship to improve minimum sea-level pressure estimates of western North Pacific tropical cyclones, J. Meteor. Soc. Japan, 102, 377-390. [doi]
  20. Hashida, T., H. Fudeyasu, and Y. Kiyohara, 2024: Typhoon associated with strong winds during the 1923 Great Kanto Earthquake, SOLA, 20, 331-338. [doi]
  21. Kasami, K., and M. Satoh, 2024: Mechanism of secondary eyewall formation in tropical cyclones revealed by sensitivity experiments on the mesoscale descending inflow, SOLA, 20, 62-68. [doi]
  22. Xiang, C., H. Fudeyasu, U. Shimada, and R. Yoshida, 2024: Shallow coastal water responses during the near landfall intensification of tropical cyclones in the South China Sea, SOLA, 20, 55-61. [doi]
  23. Arakane, S., and T. Horinouchi, 2024: Evaluations of actual and adjusted wind–pressure relationship of tropical cyclone using aircraft-assisted best track data, SOLA, 20, 23-30. [doi]
  24. Tsujino, S., T. Horinouchi, and U. Shimada, 2024: A New Closure Assumption and Formulation Based on the Helmholtz Decomposition for Improving Retrievals for Vortex Circulations from Single-Doppler Radar Observations, Mon. Wea. Rev., 152, 145–168. [doi]
  25. 坪木和久, 2024: 台風の航空機観測, 月刊海洋, Vol.56, No.2, .
  26. Olson, R., T. Nitta, K. Yoshimura, 2024: A fast physically-guided emulator of MATSIRO land surface model, J. Hydrology, , xx-xx. [doi]
  27. H. Bong, A. Cauquoin, A. Okazaki, E.-C. Chang, M. Werner, Z. Wei, N. Yeo, K. Yoshimura, 2024: Process-Based Intercomparison of Water Isotope-Enabled Models and Reanalysis Nudging Effects, JGR-Atmos., 129, 1, xx-xx. [doi]
  28. X. Wang, K. Toride and K. Yoshimura, 2023: Impact of Gaussian Transformation on Cloud Cover Data Assimilation for Historical Weather Reconstruction, Monthly Weather Review, 151, 10, 2701-2716. [doi]
  29. Xiao Y, Yang G, Yoshimura K, Qu D, Chen F, Argiriou AA and Wang S., 2023: Altitude Correction of GCM-Simulated Precipitation Isotopes in a Valley Topography of the Chinese Loess Plateau, Sustainability, 15, 17, xx-xx. [doi]
  30. G. Yin, T. Yoshikane, R. Kaneko and K. Yoshimura, 2023: Improving Global Subseasonal to Seasonal Precipitation Forecasts Using a Support Vector Machine-Based Method, JGR-Atmos., 128, 17, xx-xx. [doi]
  31. T. Yoshikane and K. Yoshimura, 2023: A downscaling and bias correction method for climate model ensemble simulations of local-scale hourly precipitation, Sci. Rep., 13, xx-xx. [doi]
  32. H. Lan, K. Yoshimura, Z. Liu, 2023: Precipitation Oxygen Isotope Changes Over East Asia Driven by Sea Surface Conditions During the Last Glacial Maximum, Paleocean. Paleoclimatol., 38, 11, xx-xx. [doi]
  33. M. Tanoue, H. Yashiro, Y. Takano, K. Yoshimura, C. Kodama, M. Satoh, 2023: Modeling Water Isotopes Using a Global Non-Hydrostatic Model With an Explicit Convection: Comparison With Gridded Data Sets and Site Observations, JGR-Atmos., 128, 23, xx-xx.
  34. 金子凌、芳村圭, 2023: 深層学習降水予測の精度改善と現状の詳細評価, 土木学会論文集B1(水工学), , xx-xx.
  35. Y. Li, A. Cauquoin, A. Okazaki and K. Yoshimura, 2023: Development of the isotope version of the fully coupled climate model MIROC6-Iso, Journal of Japan Society of Civil Engineers, 土木学会論文集B1(水工学), , xx-xx.
  36. 竹島滉、芳村圭, 2023: 大気海洋陸域結合システムにおける陸域モデルへの流域形状格子系の適用, 土木学会論文集B1(水工学), , xx-xx.
  37. D. Abeyrathne, R. Kaneko and K. Yoshimura, 2023: Application of long short-term memory (LSTM) networks approach for river water level forecasting using multiple river basins: A case study for Sri Lanka, 土木学会論文集B1(水工学), , xx-xx.
  38. Duong, Q. P., Wimmers, A., Herndon, D., Tan, Z. M., Zhuo, J. Y., Knaff, J., Abdulsalam, I. A., Horinouchi, T., Miyata, R. & Avenas, A., 2023: Objective Satellite Methods including AI algorithms reviewed for the Tenth International Workshop on Tropical Cyclones (IWTC-10), Tropical Cyclone Research and Review, Volume 12, Issue 4, Pages 259-266.[doi]
  39. Daisuke Matsuoka, Chihiro Kodama, Yohei Yamada, Masuo Nakano, 2023: Tropical cyclone dataset for a high-resolution global nonhydrostatic atmospheric simulation, Data in Brief, Volume 48, 109135. [doi]
  40. Heather M. Holbach et al. (26 authors), 2023: Recent advancements in aircraft and in situ observations of tropical cyclones, , , .
  41. Ito, K., S. Hirano, J.-D. Lee, and J. C. L. Chan, 2023: Three-Dimensional Fujiwhara Effect for Binary Tropical Cyclones in the Western North Pacific, Mon. Wea. Rev., 151, 1779–1795. [doi]
  42. Horinouchi T., S. Tsujino, M. Hayashi, U. Shimada, W. Yanase, A. Wada, and H. Yamada, 2023: Stationary and Transient Asymmetric Features in Tropical Cyclone Eye with Wavenumber-one Instability: Case Study for Typhoon Haishen (2020) with Atmospheric Motion Vectors from 30-second Imaging, Mon. Wea. Rev., 151, 253-273. [doi]
  43. Horinouchi, T., and T. Mitsuyuki, 2023: Gross assessment of the dynamical impact of numerous power-generating sailing ships on the atmosphere and evaluation of the impact on tropical cyclones, SOLA, 19, 57-62. [doi]
  44. Otaki, T., H. Fudeyasu, H. Kohno, T. Takemi, N. Mori, and K. Iida, 2022: Investigation of characteristics of maximum storm surges in Japanese coastal regions caused by Typhoon Jebi (2018) based on typhoon track ensemble simulations, J. Meteor. Soc. Japan, 100, 661-676. [doi]
  45. Miura, Y. and K. Yoshimura, 2022: Development and Validation of a Three-Dimensional Variably Saturated Flow Model for Future Water Resource Assessment at a Global Scale—Targeting Saturated Groundwater Flow in Plains, JAMES, Volume 14, Issue 10, [doi]
  46. Yin, G., T. Yoshikane, K. Yoshimura, K. Yamamoto, T. Kubota, 2022: A support vector machine-based method for improving real-time hourly precipitation forecast in Japan, J. Hydrol., Vol 612, Part A, 128125. [doi]
  47. Fudeyasu, H., U. Shimada, Y. Oikawa, H. Eito, A. Wada, R. Yoshida, and T. Horinouchi, 2022: Contributions of the large-scale environment to the typhoon genesis of Faxai (2019), J. Meteor. Soc. Japan, Special Edition on Typhoons in 2018-2019, 100, 617–630. [doi]
トップへ戻る