Ohishi, S., S. Sugimoto, and K. Hanawa, 2015: Zonal movement of the Mascarene High in austral summer. Clim. Dyn., 45, 1739-1745, doi:10.1007/s00382-014-2427-7 [link]

Ohishi, S., T. Tozuka, and N. Komori, 2016: Frontolysis by surface heat flux in the Agulhas Return Current region with a focus on mixed layer processes: observation and a high-resolution CGCM. Clim. Dyn., 47, 3993-4007, doi:10.1007/s00382-016-3056-0[link]

Ohishi, S., T. Tozuka, and M. F. Cronin, 2017: Frontogenesis in the Agulhas Return Current region simulated by a high-resolution CGCM, J. Phys. Oceanogra., 47, 2691-2710, doi:10.1175/JPO-D-17-0038.1[link]

Tozuka, T., S. Ohishi, and M. F. Cronin, 2018: A metric for surface heat flux effect on horizontal sea surface temperature gradients, Clim. Dyn., 51, 547-561, doi: 10.1007/s00382-017-3940-2[link]

Ohishi, S., H. Aiki, T. Tozuka, and M. F. Cronin, 2019: Frontolysis by surface heat flux in the eastern Japan Sea: Importance of mixed layer depth, J. Oceanogra., 75, 283-297, doi:10.1007/s10872-018-0502-0 [link]

Ohishi, S., S. Katsura, and H. Aiki, 2019: Salinity frontogenesis/frontolysis in the northeastern subtropical Pacific region, Clim. Dyn., 53, 5927-5943, doi:10.1007/s00382-019-04907-w [link]

Tomita, H., M. F. Cronin, and S. Ohishi, 2021: Asymmetric air-sea heat flux response and ocean impact to synoptic-scale atmospheric disturbances observed at JKEO and KEO buoys, Sci. Rep., 11, 469, doi:10.1038/s41598-020-80665-8 [link]

Kameyama, K., Y. Kanno, S. Ohishi, H. Tomita, Y. Fukutomi, and H. Aiki, 2022: Sporadic low salinity signals in the oceanic mixed layer observed by the Kuroshio Extension Observatory buoy, Front. Clim., doi:10.3389/fclim.2022.820490 [link]

Sakajo, T., S. Ohishi, and T. Uda, 2022: Identification of Kuroshio meanderings south of Japan via a topological data analysis for sea surface height, J. Oceanogra., 78, 495-513, doi:10.1007/s10872-022-00656-3  [link] 

Ohishi, S., T. Hihara, H. Aiki, J. Ishizaka, Y. Miyazawa, M. Kachi, and T. Miyoshi, 2022: An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1.0, Geosci. Model Dev., 15, 8395–8410, doi:10.5194/gmd-15-8395-2022 [link]

Ohishi, S., T. Miyoshi, and M. Kachi, 2022: An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI), Geosci. Model Dev., 15, 9057–9073, doi:10.5194/gmd-15-9057-2022 [link]

Ohishi, S., T. Miyoshi, and M. Kachi, 2023: LORA: A local ensemble transform Kalman filter-based ocean research analysis, Ocn. Dyn., 73, 117–143, doi:10.1007/s10236-023-01541-3 [link]

Ohishi, S., T. Miyoshi, and M. Kachi, 2024: Impact of atmospheric forcing on SST in the LETKF-based ocean research analysis (LORA), Ocean Modelling, 189, 102357, doi:10.1016/j.ocemod.2024.102357 [link]

Ohishi, S., T. Miyoshi, T. Ando, T. Higashiuwatoko, E. Yoshizawa, H. Murakami, and M. Kachi, 2024, LETKF-based Ocean Research Analysis (LORA) version 1.0, Geoscience Data Journal, 11, 995–1006, doi:10.1002/gdj3.271 [link]

Ohishi, S., Y. Kobayashi, T. Miyoshi, 2025: Including cross correlation between forecast and observation errors in an ensemble Kalman filter, Mon. Weather Rev., 153, 1035–1043, doi:10.1175/MWR-D-25-0016.1 [link]

Ohishi, S., T. Miyoshi, and M. Kachi, 2025: Deterministic and ensemble forecasts of the Kuroshio south of Japan, Ocean Dynamics, 75, 92, doi:10.1007/s10236-025-01736-w [link]