高谷　祐平　／　Yuhei Takaya

[English]
事項 詳細
所属・職名 全球大気海洋研究部・第二研究室・主任研究官
連絡先 gaoshimanagaosh
個人ページ Researchmap
専門分野 気候力学、気候モデリング
季節予報モデル（大気海洋結合モデル）の開発、及びモデルを用いた季節内から季節時間スケールの気候変動の研究を行っています。
学位 博士（理学）
受賞歴、委員等 受賞歴
  • 2003年 気象庁長官表彰（グループ） 「３か月予報への力学的手法の導入及びその業務化に寄与した功績」
  • 2008年 気象庁長官表彰（グループ） 「新たな海洋解析及び予報システムを開発し、エルニーニョ監視・予測業務及び日本近海の海況監視・予報業務に貢献した業績」
  • 2015年 気象研究所所長表彰（グループ） 「全球大気海洋海氷結合モデルならびに全球海洋データ同化システムの開発、季節予報システムの導入」
委員
  • 世界気象機関(WMO)インフラ委員会(INFCOM)地球システムモデリングと予測のためのデータ処理に関する常設委員会(SC-ESMP)委員
  • 世界気候研究計画(WCRP)季節内から十年規模予測に関する作業部会(WGSIP)委員
  • 世界気象研究計画(WWRP)/世界気候研究計画(WCRP)季節内から季節予測プロジェクト(S2S)運営グループメンバー
  • 日本気象学会 英文レター誌SOLA (Scientific Online Letters on the Atmosphere) 編集委員
  • 日本学術委員会 環境学委員会・地球惑星科学委員会合同FE･WCRP合同分科会GEWEX小委員会委員
  • GODAE OceanPredict 結合予測タスクチーム(CP-TT)メンバー
発表論文
  • Iwakiri, T, Y. Imada, Y. Takaya, T. Kataoka, H. Tatebe, M. Watanabe (2023) Triple-Dip La Niña in 2020–23: North Pacific Atmosphere Drives 2nd Year La Niña, Geophys. Res. Letts., doi:10.1029/2023GL105763
  • Takaya, Y., K. K. Komatsu, H. Hino, F. Vitart (2023) Information-based probabilistic verification scores for two-dimensional ensemble forecast data: A Madden-Julian Oscillation index example, Mon. Wea. Rev., doi:10.1175/MWR-D-23-0003.1
  • Takaya, Y. J.-P. Caron, et al. (2023) Recent advances in seasonal and multi-annual tropical cyclone forecasting, Tropical Cyclone Res. Rev., doi:10.1016/j.tcrr.2023.09.003
  • Schreck. C. et al. (2023) Advances in Tropical Cyclone Prediction on Subseasonal Time Scales during 2019–2022, Tropical Cyclone Res. Rev., doi:10.1016/j.tcrr.2023.06.004
  • Komatsu, K. K., Y. Takaya, T. Toyoda, H. Hasumi (2023) A submonthly scale causal relation between snow cover and surface air temperature over the autumnal Eurasian continent, J. Climate, doi:10.1175/JCLI-D-22-0827.1
  • Terao, T. et al. (2022) AsiaPEX: Challenges and Prospects in Asian Precipitation Research, Bull. Amer. Meteorol. Soc., doi:10.1175/BAMS-D-20-0220.1
  • Xue, Y. et al. (2022) Spring Land Temperature in Tibetan Plateau and Global-Scale Summer Precipitation: Initialization and Improved Prediction, Bull. Amer. Meteorol. Soc., doi:10.1175/BAMS-D-21-0270.13
  • Komatsu, K. K., Y. Takaya, T. Toyoda, H. Hasumi (2022) Response of Eurasian Temperature to Barents–Kara Sea Ice: Evaluation by Multi-model Seasonal Predictions, Geophys. Res. Letts., doi:10.1029/2021GL097203
  • Ose, T., H. Endo, Y. Takaya, S. Maeda, T. Nakaegawa (2022) Robust and uncertain sea-level pressure patterns over summertime east Asia in the CMIP6 multi-model future projections, J. Meteor. Soc. Japan,100, doi:10.2151/jmsj.2022-032
  • Ueda, H., M. Kuramochi, K. Takaya, Y. Takaya, S. Asano, S. Maeda (2022) Genesis of Upper-Tropospheric Anticyclones over the Asian–Western Pacific Sector from Tropical–Extratropical Interaction Perspective, J. Climate, 35(3), 997-1008, doi:10.1175/JCLI-D-21-0004.1.
  • Takemura, K., H. Mukougawa, Y. Takaya, S. Maeda (2022) Seasonal Predictability of Summertime Asian Jet Deceleration near Japan in JMA/MRI-CPS2, SOLA,18, 19-24, doi.org/10.2151/sola.2022-004.
  • Vitart, F., Y. Takaya (2021) Lagged ensembles in sub-seasonal predictions, Quart. J. Roy. Meteorol., doi:10.1002/qj.4125.
  • Xue, Y. et al. (2021) Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design, Geosci. Model Dev., 14, 4465–4494, doi:10.5194/gmd-14-4465-2021.
  • Lu, B., Y. Takaya (2021) Record meiyu-baiu of 2020: reflections for prediction, Science Bulletin, doi:10.1016/j.scib.2021.05.011.
  • Takaya, Y., Y. Kosaka, M. Watanabe, S. Maeda (2021), Skilful predictions of the Asian summer monsoon one year ahead, Nature Communications, 12, 2094, doi:10.1038/s41467-021-22299-6.
  • Takaya, Y., N. Saito, I. Ishikawa, S. Maeda (2021) Two Tropical Routes for the Remote Influence of the Northern Tropical Atlantic on the Indo−western Pacific Summer Climate, J. Climate, doi:10.1175/JCLI-D-20-0503.1.
  • Fujii, Y., T. Ishibashi, T. Yasuda, Y. Takaya, C. Kobayashi, I. Ishikawa (2021) Improvements in tropical precipitation and sea surface air temperature fields in a coupled atmosphere‐ocean data assimilation system, Quart. J. Roy. Meteorol., doi:10.1002/qj.3973.
  • Iizumi, T., Y. Takaya, W. Kim, T. Nakaegawa, S. Maeda (2021) Global within-season yield anomaly prediction for major crops derived using seasonal forecasts of large-scale climate indices and regional temperature and precipitation, Weather and Forecasting, doi:10.1175/WAF-D-20-0097.1.
  • Takaya, Y., I. Ishikawa, C. Kobayashi, H. Endo, T. Ose (2020) Enhanced Meiyu‐Baiu Rainfall in Early Summer 2020: Aftermath of the 2019 Super IOD Event, Geophys. Res. Letts., doi:10.1029/2020GL090671.
  • Minami, A., Y. Takaya (2020) Enhanced Northern Hemisphere correlation skill of subseasonal predictions in the strong negative phase of the Arctic Oscillation, J. Geophys. Res., doi:10.1029/2019JD031268.
  • Ose, T., Y. Takaya, S. Maeda, T. Nakaegawa (2020) Resolution of Summertime East Asian Pressure Pattern and Southerly Monsoon Wind in CMIP5 Multi-Model Future Projections, J. Meteorol. Soc. Japan, doi:10.2151/jmsj. 2020-047.
  • Merryfield, W. et al. (2020) Current and emerging developments in subseasonal to decadal prediction, Bull. Amer. Meteorol. Soc., doi.org:10.1175/BAMS-D-19-0037.1
  • Klotzbach, P. et al, (2019) Seasonal Tropical Cyclone Forecasting, Tropical Cyclone Research and Review, 8, 134-149.
  • Takaya, Y. (2019) Positive Phase of Pacific Meridional Mode Enhanced Western North Pacific Tropical Cyclone Activity in Summer 2018, SOLA, 15A, 55-59, doi:10.2151/sola.15A-010.
  • Scaife. A. et al. (2019) Tropical rainfall predictions from multiple seasonal forecast systems, Int. J. Climatol., 39(2), 974-988, doi:10.1002/joc.5855.
  • Subramanian et al. (2019) Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability, Frontier in Marine Science, doi:10.3389/fmars.2019.00427.
  • Takaya, Y., S. Hirahara, T. Yasuda, S. Matsueda, T. Toyoda, Y. Fujii, H. Sugimoto, C. Matsukawa, I. Ishikawa, H. Mori, R. Nagasawa, Y. Kubo, N. Adachi, G. Yamanaka, T. Kuragano, A. Shimpo, S. Maeda, T. Ose (2018) Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 2 (JMA/MRI-CPS2): atmosphere–land–ocean–sea ice coupled prediction system for operational seasonal forecasting, Clim. Dyn., 3–4, 751–765, doi:10.1007/s00382-017-3638-5
  • Saito, N., S. Maeda, T. Nakaegawa, Y. Takaya, Y. Imada, C. Matsukawa (2017) Seasonal Predictability of the North Atlantic Oscillation and Zonal Mean Fields Associated with Stratospheric Influence in JMA/MRI-CPS2, SOLA, 13, 209-213, doi:10.2151/sola.2017-038
  • Takaya, Y., Y. Kubo, S. Maeda, S. Hirahara (2017) Prediction and attribution of quiescent tropical cyclone activity in the early summer of 2016: case study of lingering effects by preceding strong El Niño events, Atmos. Sci. Lett., 18, 330-335, doi:10.1002/asl.760
  • Vitart, F. et al. (2017) The Subseasonal to Seasonal (S2S) Prediction Project Database, Bull. Amer. Meteorol. Soc., doi:10.1175/BAMS-D-16-0017.1
  • Takaya, Y., T. Yasuda, Y. Fujii, S. Matsumoto, T. Soga, H. Mori, M. Hirai, I. Ishikawa, H. Sato, A. Shimpo, M. Kamachi, T. Ose (2017) Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 1 (JMA/MRI-CPS1) for operational seasonal forecasting, Clim. Dyn.,1–2, 313–333, doi:10.1007/s00382-016-3076-9
  • Matsueda, S., Y. Takaya (2015) The global influence of the Madden–Julian Oscillation on extreme temperature events, J. Clim., 28, 4141–4151, doi:10.1175/JCLI-D-14-00625.1
  • Takaya, Y., T. Yasuda, T. Ose, T. Nakaegawa (2010) Predictability of the mean location of typhoon formation in a seasonal prediction experiment with a coupled general circulation model, J. Meteorol. Soc. Jpn., 88(5), 799-812
  • Takaya, Y., J.-R. Bidlot, A. C. M. Beljaars, P. A. E. M. Janssen (2010) Refinements to a prognostic scheme of skin sea surface temperature, J. Geophys. Res., 115, C06009, doi:10.1029/2009JC005985
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