In preparation
Submitted
Honda et al., estimating observation impacts
Honda, T., Okamoto, K., and Tochimoto, E.: Predictability of a mesoscale convective system that caused heavy precipitation in northern Kyushu, Japan, on July 9, 2023, as revealed by the assimilation of Himawari-9 observations, SOLA, doi:10.2151/sola.2025-059, in press.
Honda, T., 2025: Exploring the intrinsic predictability limit of a localized convective rainfall event near Tokyo, Japan using a high-resolution EnKF system, Journal of the Atmospheric Sciences, 82, 177–195, doi:10.1175/JAS-D-24-0022.1.
Honda, T., and Yamazaki, A., 2024, Machine learning enables real-time proactive quality control: A proof-of-concept study, Geophysical Research Letters, 51, e2023GL107938, doi:10.1029/2023GL107938.
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. In 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.
Honda, T., Y. Sato, and T. Miyoshi, 2023: Regression-based ensemble perturbations for the zero-gradient issue posed in lightning-flash data assimilation with an ensemble Kalman filter, Monthly Weather Review, 151, 2573–2586, doi:10.1175/MWR-D-22-0334.1.
Honda, T., 2023, Development of a polar mesocyclone and associated environmental characteristics during the heavy snowfall event in Sapporo, Japan, in early February 2022, Journal of Geophysical Research: Atmospheres, 128, e2022JD037774, doi:10.1029/2022JD037774.
Saito, K., Kawabata, T., Seko, H., Miyoshi, T., Duc, L., Oizumi, T., Kunii, M., Chen, G., Ito, K., Ito, J., Yokota, S., Mashiko, W., Kobayashi, K., Fukui, S., Tochimoto, E., Amemiya, A., Maejima, Y., Honda, T., Niino, H., and Satoh, M., 2023, Forecast and numerical simulation studies on meso/micro-scale high-impact weathers using high-performance computing in Japan, In: Park, S.K. (eds) Numerical Weather Prediction: East Asian Perspectives. Springer Atmospheric Sciences. Springer, Cham., doi:10.1007/978-3-031-40567-9_18.
Taylor, J., Honda, T., Amemiya, A., Otsuka, S., 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, 38, 611–632, doi:10.1175/WAF-D-21-0177.1.
Honda, T., Amemiya, A., Otsuka, S., Lien, G.-Y., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., Satoh, S., Ishikawa, Y., and Miyoshi, T., 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, doi:10.1029/2021MS002823.
Honda, T., Amemiya, A., Otsuka, S., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., and Miyoshi, T., 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, doi:10.1029/2021GL096927.
Honda, T., Y. Sato, and T. Miyoshi, 2021: Potential impacts of lightning flash observations on numerical weather prediction with explicit lightning processes, Journal of Geophysical Research: Atmospheres, doi:10.1029/2021JD034611.
Taylor, J., A. Okazaki, T. Honda, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, T. Miyoshi, 2021: Oversampling Reflectivity Observations from a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts within a Perfect Model OSSE Framework. Journal of Advances in Modeling Earth Systems, doi:10.1029/2020MS002332.
Honda, T. and T. Miyoshi, 2021: Predictability of the July 2018 heavy rain event in Japan associated with Typhoon Prapiroon and southern convective disturbances, SOLA, doi: 10.2151/sola. 2021-018.
Taylor, J., A. Amemiya, T. Honda, Y. Maejima and T. Miyoshi, 2021: Predictability of the July 2020 heavy rainfall with the SCALE-LETKF, SOLA, doi:10.2151/sola.2021-008.
Amemiya, A., T. Honda, and T. Miyoshi, 2020: Improving the observation operator for the phased array weather radar in the SCALE-LETKF system, SOLA, doi:10.2151/sola.2020-002.
Okazaki, A., T. Honda, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, and T. Miyoshi, 2019, Simulating precipitation radar observations from a geostationary satellite, Atmospheric Measurement Techniques, 12, 3985–3996, doi:10.5194/amt-12-3985-2019.
Honda, T., S. Takino, and T. Miyoshi, 2019, Improving a precipitation forecast by assimilating all-sky Himawari-8 satellite radiances: A case of Typhoon Malakas (2016), SOLA, doi:10.2151/sola.2019-002.
Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto, and T. Miyoshi, 2018: Assimilation of Himawari-8 all-sky radiances every 10 minutes: Impact on precipitation and flood risk prediction, Journal of Geophysical Research: Atmospheres, 123, 965–976, doi:10.1002/2017JD027096.
Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita, and K. Bessho, 2018: Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015), Monthly Weather Review, 146, 213–229. doi:10.1175/MWR-D-16-0357.1.
Honda, T. and T. Kawano, 2016: A Possible Mechanism of Tornadogenesis Associated with the Interaction between a Supercell and an Outflow Boundary without Horizontal Shear, Journal of the Atmospheric Sciences, 73, 1273–1292, doi:10.1175/JAS-D-14-0347.1.
Honda, T. and T. Kawano, 2015: How does mid-tropospheric dry air affect the evolution of supercellular convection? Atmospheric Research, 157, 1–15, doi:10.1016/j.atmosres.2015.01.015.