出版物

    Description papers of d4PDF
  1. Mizuta, R., A. Murata, M. Ishii, H. Shiogama, K. Hibino, N. Mori, O. Arakawa, Y. Imada, K. Yoshida, T. Aoyagi, H. Kawase, M. Mori, Y. Okada, T. Shimura, T. Nagatomo, M. Ikeda, H. Endo, M. Nosaka, M. Arai, C. Takahashi, K. Tanaka, T. Takemi, Y. Tachikawa, K. Temur, Y. Kamae, M. Watanabe, H. Sasaki, A. Kitoh, I. Takayabu, E. Nakakita, and M. Kimoto, 2017: Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models. Bull. Amer. Meteor. Soc. July 2017, 1383-1398
  2. Fujita M., R. Mizuta, M. Ishii, H. Endo, T. Sato, Y. Okada, S. Kawazoe, S. Sugimoto, K. Ishihara, S. Watanabe (2020) Precipitation Changes in a Climate With 2‐K Surface Warming From Large Ensemble Simulations Using 60‐km Global and 20‐km Regional Atmospheric Models. Geophys. Res. Lett., 46, 435-442
  3. Imada Y., S. Maeda, M. Watanabe, H. Shiogama, R. Mizuta, M. Ishii, M. Kimoto (2017) Recent enhanced seasonal temperature contrast in Japan from large ensemble high-resolution climate simulations. Atmosphere, 2017, 8(3), 57
  4. Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I. Takayabu, 2019: Contribution of historical global warming to local-scale heavy precipitation in western Japan estimated by large ensemble high-resolution simulations, J. Geophys. Res., doi.org/10.1029/2018JD030155
  5. Nosaka M., M. Ishii, H. Shiogama, R. Mizuta, A. Murata, H. Kawase, H. Sasaki (2020) Scalability of future climate changes across Japan examined with large-ensemble simulations at +1.5 K, +2 K, and +4 K global warming levels. Progress in Earth and Planetary Science, 7, Article number: 27.

  6. Review paper
  7. Ishii M. & N. Mori (2020) d4PDF: large-ensemble and high-resolution climate simulations for global warming risk assessment. Progress in Earth and Planetary Science, 7, Article number: 58.

  8. 2022
  9. Ohba, M., R. Arai, T. Sato, M. Imamura, Y. Toyoda. 2022: Projected future changes in water availability and dry spells in Japan: Dynamic and thermodynamic climate impacts, Weather and Climate Extremes, 38, 100523. doi:10.1016/j.wace.2022.100523
  10. Ito, R., H. Kawase, Y. Imada (2022). Regional Differences in Summertime Extremely High Temperature in Japan due to Global Warming. Journal of Applied Meteorology and Climatology, 61, doi:10.1175/JAMC-D-22-0062.1.
  11. Katsuyama Y, Katsushima T, Takeuchi Y (2022). Large-ensemble climate simulations to assess changes in snow stability over northern Japan. Journal of Glaciology, 1–14. https://doi.org/10.1017/jog.2022.85
  12. Ohba, M., R. Arai, T. Sato, Y. Toyoda, 2022: Impact of weather regime on projected future changes in streamflow in a heavy snowfall area of Japan, Climate Dynamics. doi:10.1007/s00382-022-06163-x.

  13. 2021
  14. Ohba, M. and S. Sugimoto, 2021: Dynamic and thermodynamic contributions of ENSO to winter precipitation in Japan: frequency and precipitation of synoptic weather patterns, Climate Dynamics. doi: 10.1007/s00382-021-06052-9.

  15. 2020
  16. Miyasaka, T., H. Kawase, T. Nakaegawa, Y. Imada, and I. Takayabu (2020) Future projections of heavy precipitation in Kanto and associated weather patterns using large ensemble high-resolution simulations. SOLA, 16, 125-131. doi:10.2151/sola.2020-022
  17. Ohba, M., and H. Kawase 2020: Rain-on-Snow events in Japan as projected by a large ensemble of regional climate simulations, Climate Dynamics. doi:10.1007/s00382-020-05419-8.
  18. Nakagawa, Y., Onoue, Y., Kawahara, S. et al. 2020: Development of a system for efficient content-based retrieval to analyze large volumes of climate data. Prog Earth Planet Sci 7, 9.
  19. Ohba, M., and S. Sugimoto 2020: Impacts of climate change on heavy wet snowfall in Japan, Climate Dynamics, doi:10.1007/s00382-020-05163-z.

  20. 2019
  21. Ohba, M., 2019: The Impact of Global Warming on Wind Energy Resources and Ramp Events in Japan. Atmosphere, 10, 265, doi.org/10.3390/atmos10050265.
  22. Mori, N., T. Shimura, K. Yoshida, R. Mizuta, Y. Okada, M. Fujita, T.Khujanazarov and E. Nakakita (2019) Future changes in extreme storm surges based on mega-ensemble projection using 60-km resolution atmospheric global circulation model, Coastal Engineering Journal, Taylor & Francis, 13p.

  23. 2018
  24. Yang, J.A, S.Y. Kim, N. Mori, H. Mase (2018) Assessment of long-term impact of storm surges around the Korean Peninsula based on a large ensemble of climate projections, Coastal Engineering, Elsevier, Vol.142, pp.1-8.
  25. Hiroaki Ueda, Kana Miwa, Youichi Kamae (2018) Seasonal Modulation of Tropical Cyclone Occurrence Associated with Coherent Indo-Pacific Variability during Decaying Phase of El Niño. JMSJ, 96, 381-390
  26. Md. Abdul Al Mohit, Masaru Yamashiro, Noriaki Hashimoto, Md. Bodruddoza Mia, Yoshihiko Ide, Mitsuyoshi Kodama (2018) Impact Assessment of a Major River Basin in Bangladesh on Storm Surge Simulation. J. Marine Science and Engineering, 2018, 6(3), 99
  27. Sally L. Lavender, Kevin J. E. Walsh, Louis-Philippe Caron, Malcolm King, Sam Monkiewicz, Mark Guishard, Qiong Zhang, Barrie Hunt(2018) Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models. Science Advances 22 Aug 2018, Vol. 4, no. 8, eaat6509, DOI: 10.1126/sciadv.aat6509
  28. Toshichika Iizumi, Hideo Shiogama, Yukiko Imada, Naota Hanasaki, Hiroki Takikawa, Motoki Nishimori (2018) Crop production losses associated with anthropogenic climate change for 1981–2010 compared with preindustrial levels. Internaitonal Journal of Climatology, 2018, 1-13
  29. Toshichika Iizumi, Yuji Masutomi, Takahiro Takimoto, Tomoyoshi Hirota, Akiyo Yatagai, Kenichi Tatsumi, Kazuhiko Kobayashi, Toshihiro Hasegawa (2018) Emerging research topics in agricultural meteorology and assessment of climate change adaptation. J. Agricultural Meteorology, 74, 54-59
  30. Nobuaki Kimura, Hirohide Kiri, Iwao Kitagawa (2018) The Impact of Multiple Typhoons on Severe Floods in the Mid-Latitude Region (Hokkaido). Water 2018, 10(7), 843
  31. Kenshi Hibino, Izuru Takayabu, Yasutaka Wakazuki, Tomomichi Ogata (2018) Physical responses of convective heavy rainfall to future warming condition: case study of the Hiroshima event. Front. Earth Sci., 19 April 2018, ://doi.org/10.3389/feart.2018.00035
  32. Ohba, M., and S. Sugimoto 2018: Differences in climate change impacts between weather patterns: possible effects on spatial heterogeneous changes of future extreme rainfall, Climate Dynamics, doi:10.1007/s00382-018-4374-1.
  33. Osakada, Yukari, and Eiichi Nakakita (2018) Future Change of Occurrence Frequency of Baiu Heavy Rainfall and Its Linked Atmospheric Patterns by Multiscale Analysis, SOLA, 14, 79-85, doi:10.2151/sola.2018-014.
  34. Patinya HANITTINAN, Yasuto TACHIKAWA, Yutaka ICHIKAWA, Kazuaki YOROZU: Future river discharge projections at the indochinese peninsula using large ensemble climate dataset, Journal of Japan Society of Civil Engineers, Ser. B1(Hydraulic Engineering), pp. I_193-I_198, Vol. 74, No. 4, 2018.
  35. Kawase, H., T. Sasai, T. Yamazaki, R. Ito, K. Dairaku, S. Sugimoto, H. Sasaki, A. Murata, and M. Nosaka, 2018: Characteristics of synoptic conditions for heavy snowfall in western to northeastern Japan analyzed by the 5-km regional climate ensemble experiments. J. Meteor. Soc. Japan, 96, 161-178.
  36. Ueda, H., K. Miwa, and Y. Kamae, 2018: Seasonal modulation of tropical cyclone occurrence associated with coherent Indo-Pacific variability during decaying phase of El Niño. J. Meteor. Soc. Japan, doi:10.2151/jmsj.2018-044.
  37. Xie, S.-P., Q. Peng, Y. Kamae, X. Zheng, H. Tokinaga, and D. Wang, 2018: Eastern Pacific ITCZ dipole and ENSO diversity. J. Climate, 31, 4449-4462.

  38. 2017
  39. Kamae, Y., W. Mei, S.-P. Xie, M. Naoi, and H. Ueda, 2017: Atmospheric rivers over the Northwestern Pacific: Climatology and interannual variability. J. Climate, 30, 5605-5619.
  40. Matsueda, M. and H. Endo, 2017: The robustness of future changes in Northern Hemisphere blocking: A large ensemble projection with multiple sea surface temperature patterns, Geophys. Res. Lett., 44, doi:10.1002/2017GL073336.
  41. Endo, H., A. Kitoh, R. Mizuta, and M. Ishii, 2017: Future changes in precipitation extremes in East Asia and their uncertainty based on large ensemble simulations with a high-resolution AGCM. SOLA, 13, 7-12, doi:10.2151/sola.2017-002.
  42. Kamae, Y., H. Shiogama, Y. Imada, M. Mori, O. Arakawa, R. Mizuta, K. Yoshida, C. Takahashi, M. Arai, M. Ishii, M. Watanabe, M. Kimoto, S.-P. Xie, and H. Ueda, 2017: Forced response and internal variability of summer climate over western North America. Clim. Dyn., 49, 403-417.
  43. Shoji Kusunoki(2017) Future changes in precipitation over East Asia projected by the global atmospheric model MRI-AGCM3.2
  44. Sunmin Kim, Yasuto Tachikawa, Eiichi Nakakita (2017) Statistical Downscaling of AGCM60km Precipitation based on Spatial Correlation of AGCM20km Output. Hydrological Research Letters, Vol. 11 (2017) No. 1 p. 58-64

  45. 2016
  46. Tetsuya Takemi, Yasuko Okada, Rui Ito, Hirohiko Ishikawa, Eiichi Nakakita (2016) Assessing the impacts of global warming on meteorological hazards and risks in Japan: Philosophy and achievements of the SOUSEI program. Hydrological Research Letters, Vol. 10 (2016) No. 4 p. 119-125
  47. Kawase, H., A. Murata, R. Mizuta, H. Sasaki, M. Nosaka, and I. Takayabu, 2016: Enhancement of extreme daily snowfall in Japan due to global warming projected by enormous ensemble regional climate experiments. Climatic Change, doi:10.1007/s10584-016-1781-3.
  48. Shiogama, H., Y. Imada, M. Mori, R. Mizuta, D. Stone, K. Yoshida, O. Arakawa, M. Ikeda, C. Takahashi, M. Arai, M. Ishii, M. Watanabe, and M. Kimoto 2016: Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events. SOLA, 12, 225-231.

  49. In Japanese (or thesis)
  50. 金康珉、伊藤俊介、吉田聡、佐土原聡(2019)、d4PDFを用いた気候変動による冷暖房の需要変化と熱源システムへの影響分析:横浜みなとみらい21地区の地域冷暖房を対象として、日本建築学会環境系論文集 、84巻、755号、p.83-91、2019.01
  51. 高 裕也, 二宮順一, 森 信人(2018)大規模アンサンブル気候予測データを用いた爆弾低気圧の将来変化, 土木学会論文集B1 (水工学), 74(4), I_175-I_180.
  52. 原田守啓, 丸谷靖幸, 児島利治, 松岡大祐, 中川友進, 川原慎太郎, 荒木文明 (2018) アンサンブル気候変動予測データベースを用いた洪水頻度解析による長良川流域の温暖化影響評価 水工学論文集 Annual journal of Hydraulic Engineering, JSCE 62, Ⅰ_181-186
  53. 安田誠宏, 横山彼杜, 平井翔太, 中條壮大, 金 洙列 (2018) 確率台風モデルを援用した安芸灘・伊予灘における高潮簡易予測式の提案 土木学会論文集B3(海洋開発), 2018 年 74 巻 2 号 p. I_581-I_586
  54. 井手喜彦, 中尾直幸, 児玉充由, 橋本典明, 山城 賢 (2018) 海面水温の将来変化パターンによる近未来の台風特性の相違に関する研究 土木学会論文集B3(海洋開発), 2018 年 74 巻 2 号 p. I_587-I_592
  55. 葛葉泰久, 千田眞喜子 (2018) AMeDAS と d4PDF データを用いた降水量の非定常性と極値に関する考察 水工学論文集 Annual journal of Hydraulic Engineering, JSCE 62, Ⅰ_325-330
  56. 星野 剛, 山田朋人(2018) 大量アンサンブル気候予測データを用いた日本国内全一級水系を対象とした年最大流域平均降水量の分析 水工学論文集 Annual journal of Hydraulic Engineering, JSCE 62, Ⅰ_187-192
  57. 中北英一, 小坂田ゆかり(2018) 気候変動に伴う梅雨期集中豪雨と大気場の将来変化に関するマルチスケール解析,土木学会論文集B1 (水工学), 74(4), I_139-I_144.
  58. 渡部哲史,内海信幸(2018) 大規模気候予測情報類型化に向けたd4PDF日本域降水量の特徴の把握.土木学会論文集 B1 (水工学), 74(4), I_169-I_174.
  59. 梁 靖雅・間瀬 肇・森 信人 (2017) 海岸線の複雑度を考慮した高潮偏差の誤差補正とd4PDFを用いた高潮偏差の長期評価〜韓国東南沿岸に対するケーススタディ〜,土木学会論文集 B2 (海岸工学), 73(2),I_42,I_223
  60. 立川 康人, 宮脇 航平, 田中 智大, 萬 和明, 加藤 雅也, 市川 温, キムスンミン: 超多数アンサンブル気候予測実験データを用いた極値河川流量の将来変化の分析, 土木学会論文集, 73 巻 (2017) 3 号 p. 77-90
  61. 北野 利一, 高橋 倫也, 田中 茂信 (2017): 気候モデルから得られる多数のアンサンブルデータを用いた確率降水量の推定法,土木学会論文集B1(水工学),73 巻,4 号,p. I_1-I_6.
  62. Hanittinan Patinya (2017) Statistical analysis of river discharge change in the Indochinese Peninsula using largo ensemble future climate projections 博士論文 2017-09-25, Kyouto University
  63. Yang, Jung-A (2017) Projection of future storm surges around the Korean Peninsula considering climate change effect 京都大学 博士論文
  64. 森信人, 志村智也, 吉田康平, 水田亮, 岡田靖子, 石井正好, 木本 昌秀, 高薮 出, 中北英一 (2016) 全球60kmAGCMを用いた大規模アンサンブル気候予測実験とこれを用いた高潮長期評価. 土木学会論文集 B2 (海岸工学), 72(2), I_1471-I_1476.
  65. 大矢 淳, 柴山知也, 中村亮太, 岩本匠夢 (2016) 東京湾における沿岸域災害対策の費用便益分析 "土木学会論文集B3(海洋開発), Vol. 72 (2016) No. 2 p. I_880-I_885, 海洋開発論文集 Vol.32"