雨宮　新　／　AMEMIYA Arata

事項 詳細
所属・職名 気象観測研究部・第三研究室・研究官
連絡先 taamemiyaarataa
個人ページ researchmap
専門分野 気象学、データ同化
学位 博士（理学）
受賞歴、委員等 受賞歴
  • 理研梅峰賞（グループ表彰）（2024年）
発表論文
  • Kong, K., Amemiya, A., Yamaura, T., Sueki, K., Nishizawa, S., Kajikawa, Y., & Tomita, H. (2026). Investigating Microphysics Scheme Parameter Estimation Using Data Assimilation in an Idealized Squall-line Experiment. SOLA, in revision
  • Miyoshi, T., Garcia Skabar, Y., Ruiz, J. J., Vidal, L., Otsuka, S., Ushio, T., Kitahara, D., Rugna, M., Tomita, H., Dillon, M. E., Amemiya, A., Alfie, E., Ushiyama, T., Lagos, M., López, S., Grigera, D., García, P., Salio, P., Pulido, M., Re, M., García, C. M., D'Amen, D., Alvarez Imaz, M., Mezher, R., Kazimierski, L., Hobouchian, M. P., Arruti, A., Cancelada, M., Maldonado, P., Sacco, M., Díaz Lozada, J. M., Portigliatti, A. J., Goñi, J., Robledo, F., & Konishi, M. (2026). PREVENIR: An Argentina-Japan Collaboration on Early Warning for Urban Floods. Bulletin of the American Meteorological Society, accepted
  • Dillon, M. E., Amemiya, A., Maldonado, P., Ruiz, J., Casaretto, G., Cutraro, F., Pulido, M., Otsuka, S., Alvarez Imaz, M., Cancelada, M., Gutiérrez, J. G., Matsudo, C., Righetti, S., Rugna, M., Sacco, M., Garcia Skabar, Y., & Miyoshi, T. (2026). Assessment of two ensemble-based rapid-update data assimilation and short-range numerical weather prediction systems for Argentina. Journal of the Meteorological Society of Japan 104, 300. https://doi.org/10.1007/s44394-026-00033-4
  • Taylor, J., Amemiya, A., Honda, T., Otsuka, S., Maejima, Y., & Miyoshi, T. (2026). Rapid 30-Second-Update Numerical Nowcasting with Multi-Parameter Phased Array Radar Observations: Skill Comparison with an Advection Model. SOLA 22, 29. https://doi.org/10.1007/s44393-026-00032-0
  • Gutiérrez, J. G., Ruiz, J., Pulido, M., Cabello, L., Dillon, M. E., Garcia Skabar, Y., Otsuka, S., Amemiya, A., Diehl, A., Miyoshi, T., & Pajarola, R. (2026). Tempered Ensemble Kalman Filter for strongly nonlinear observation operators. Quarterly Journal of the Royal Meteorological Society, e70270. https://doi.org/10.1002/qj.70270
  • Guerrieri, J. M., Pulido, M. A., Miyoshi, T., Amemiya, A., & Ruiz, J. J. (2026). Localization in the mapping particle filter. EGUsphere, 2026, 33(1), 33-49, https://doi.org/10.5194/npg-33-33-2026
  • Amemiya, A., & Miyoshi, T. (2026). Impact of reduced non-Gaussianity on analysis and forecast accuracy by assimilating every-30-second radar observation with ensemble Kalman filter: idealized experiments of deep convection. Nonlinear Processes in Geophysics, 2026, 33(1), 1-16, https://doi.org/10.5194/npg-33-1-2026
  • Huo, Z., Y. Liu, J. Taylor, Y. Zhou, A. Amemiya, H. Fan, T. Miyoshi (2025): Incremental Analysis Updates in a Convective-Scale Ensemble Kalman Filter Using Minute-by-Minute Phased Array Radar Observations Journal of Advances in Modeling Earth Systems, 17,e2024MS004802.https://doi.org/10.1029/2024MS004802
  • Saito, K., T. Kawabata, H. Seko, T. Miyoshi, L. Duc, T. Oizumi, M. Kunii, G. Chen, K. Ito, J. Ito, S. Yokota, W. Mashiko, K. Kobayashi, S. Fukui, E. Tochimoto, A. Amemiya, Y. Maejima, T. Honda, H. Niino, and M. Satoh (2023): Forecast and numerical simulation studies on meso/micro-scale high-impact weathers using high-performance computing in Japan. Numerical Weather Prediction: East Asian Perspectives. Springer, 461-481. https://doi.org/10.1007/978-3-031-40567-9_18
  • Miyoshi, T., Amemiya, A., Otsuka, S., Maejima, Y., Taylor, J., Honda, T., Tomita, H., Nishizawa, S., Sueki, K., Yamaura, T., Ishikawa, Y., Satoh, S., Ushio, T., Koike, K., and Uno, A. (2023). Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23). Association for Computing Machinery, New York, NY, USA, Article 8, 1–10.https://doi.org/10.1145/3581784.3627047
  • Taylor, J., Honda, T., Amemiya, A., Maejima, Y., and Miyoshi, T. (2023). Sensitivity to Localization Radii for an Ensemble Filter Numerical Weather Prediction System with 30-Second Update, Weather and Forecasting,https://doi.org/10.1175/WAF-D-21-0177.1
  • Amemiya, A., Mohta, S., and Miyoshi, T. (2023). Application of recurrent neural networks to model bias correction: Idealized experiments with the Lorenz-96 model, Journal of Advances in Modeling Earth Systemss, 15, e2022MS003164. https://doi.org/10.1029/2022MS003164
  • Honda, T., Amemiya, A., Otsuka, S., Taylor, J., Maejima, Y., Nishizawa, S., et al. (2022). Advantage of 30-s-updating numerical weather prediction with a phased-array weather radar over operational nowcast for a convective precipitation system. Geophysical Research Letters, 49, e2021GL096927. https://doi.org/10.1029/2021GL096927
  • Honda, T., Amemiya, A., Otsuka, S., Lien, G.-Y., Taylor, J., Maejima, Y., et al. (2022). Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar: Description and Preliminary Evaluation. Journal of Advances in Modeling Earth Systems, 14, e2021MS002823.https://doi.org/10.1029/2021MS002823
  • Taylor, J., Amemiya, A., Honda, T., Maejima, Y., & Miyoshi, T. (2021). Predictability of the July 2020 Heavy Rainfall with the SCALE-LETKF. Sola, 17(July 2020), 48–56.,
    doi:https://doi.org/10.2151/sola.2021-008
  • Amemiya, A. and Sato, K., Characterizing quasi-biweekly variability of the Asian monsoon anticyclone using potential vorticity and large-scale geopotential height field, Atmospheric Chemistry and Physics, 20.22 (2020),
    doi:https://doi.org/10.5194/acp-2020-424
  • Amemiya, A., T. Honda and T. Miyoshi, Improving the observation operator for the Phased Array Weather Radar in the SCALE-LETKF system, SOLA, 16 (2020), 6-11,
    doi:http://dx.doi.org/10.2151/sola.2020-002
  • Amemiya, A., and K. Sato, A two dimensional dynamical model for the subseasonal variability of the Asian monsoon anticyclone, Journal of the Atmospheric Sciences, 75.10 (2018): 3597-3612:
    doi: http://dx.doi.org/10.1175/JAS-D-17-0208.1
  • Amemiya, A., and K. Sato, A new gravity wave parameterization including three dimensional propagation, Journal of the Meteorological Society of Japan, Ser. II 94.3 (2016): 237-256.
    doi: http://dx.doi.org/10.2151/jmsj.2016-013
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