Pear-reviewed Articles

  • FY2021
    • Kotsuki, S., and Bishop, H. C. (2022): Implementing Hybrid Background Error Covariance into the LETKF with Attenuation-based Localization: Experiments with a Simplified AGCM. Mon. Wea. Rev. doi: 10.1175/MWR-D-21-0174.1 (Nov. 24, 2021; CR)
    • Miyoshi, T., Terasaki, K., Kotsuki, S., Otsuka, S., Chen, Y.-W., Kanemaru, K., Okamoto, K., Kondo, K., Lien, G.-Y., Yashiro, H., Tomita, H., Sato, M., and Kalnay, E. (2022): Enhancing data assimilation of GPM observations. Precipitation Science, Measurement Remote Sensing, Microphysics, and Modeling. Elsevier, 787-804. doi: 10.1016/B978-0-12-822973-6.00020-2 (Nov. 12, 2021; CR)
    • Arakida, H., Kotsuki, S., Otsuka, S., Sawada, Y., and Miyoshi, T. (2021): Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia. Prog. Earth Planet. Sci., 8:52. doi: 10.1186/s40645-021-00443-6 (Sep. 14, 2021; CR)
    • Taler, J., Okazaki, A., Honda, T., Kotsuki, S., Yamaji, M., Kubota, T., Oki, R., Iguchi, T., and Miyoshi, T.: Oversampling Reflectivity Observations from a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts within a Perfect Model OSSE Framework. J. Adv. Modeling Earth Syst. 13, e2020MS002332.  doi: 10.1029/2020MS002332 (May 08, 2021; CR)
  • FY2020
    • Carrio, D. S., Bishop, C. H. and Kotsuki, S. (2021): Empirical determination of the covariance of forecast errors: an empirical justification and reformulation of Hybrid covariance models. Q. J. R. Meteorol. Soc., 147, 2033-2052. doi: 10.1002/qj.4008 (Feb. 20, 2021; CR)
    • Watanabe, S., Kotsuki, S., Kanae, S., Tanaka, K. and Higuchi, A.: Snow water scarcity induced by the record breaking warm winter in 2020 in Japan. Sci. Rep. doi: 10.1038/s41598-020-75440-8 (Oct. 29, 2020; CR)
    • Kotsuki, S., Pensoneault, A., Okazaki, A., and Miyoshi, T. (2020): Weight Structure of the Local Ensemble Transform Kalman Filter: A Case with an Intermediate AGCM. Q. J. R. Meteorol. Soc. doi: 10.1002/qj.3852 (Jun. 16, 2020; CR)
    • Miyoshi, T., Kotsuki, S., Terasaki, K., Otsuka, S., Lien, G.-Y., Yashiro, H., Tomita, H., Satoh, M., and Kalnay, E. (2020): Precipitation Ensemble Data Assimilation in NWP Models. Satellite Precipitation Measurement. Advances in Global Change Research, 69, Springer, 983-991. doi:10.1007/978-3-030-35798-6_25 (Apr. 15, 2020; CR)
  • FY2019
    • Kotsuki, S., Sato, Y., and Miyoshi, T. (2020): Data Assimilation for Climate Research: Model Parameter Estimation of Large Scale Condensation Scheme. J. Geophys. Res., 125, e2019JD031304. doi: 10.1029/2019JD031304 (Jan. 03, 2020; CR)
  • See further publications by Prof. S. Kotsuki before the launch of the laboratory on Nov. 2019


Pear-reviewed Articles in Japanese

  • FY2021
    • 赤塚洋介, 瀬戸里枝, 鼎信次郎, 小槻峻司, 渡部哲史 (2021): 豪雪地帯に位置するダム対象とした融雪期の操作におけるAIダム操作モデルの応用可能性. 水工学論文集. doi: 10.2208/jscejhe.xx (accepted; Dec. , 2021; C)
  • FY2020
    • 小槻峻司, 桃井裕広,菊地亮太, 渡部哲史, 山田真史, 阿部紫織,綿貫翔 (2020): 回帰学習器のアンサンブル学習による降雨洪水氾濫モデル・エミュレータ. 水工学論文集, Vol.76, No.2, pp.I_367-I_372. doi: 10.2208/jscejhe.76.2_I_367 (accepted; Nov. 04, 2020; C)
    • 関本大晟,渡部哲史, 小槻峻司, 山田真史, 阿部紫織,綿貫翔 (2020): 降雨流出氾濫モデル・エミュレータによる浸水範囲予測. 水工学論文集, Vol.76, No.2, pp. I_547-I_552. doi: 10.2208/jscejhe.76.2_I_547 (accepted; Nov. 04, 2020; C)

Non-pear-reviewed Articles

  • FY2021
    • 滝野晶平, 本田匠, 三好建正, 大東真利茂, 小槻峻司, 塚田智之, 中田安彦 (2021): 機械学習を活用した発電ダムの運用最適化システムの開発. 大ダム, No.257(2021-10), 30-36.