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Department
Department of Climate and Geochemistry Research
First Laboratory
S. Sekizawa
SEKIZAWA Shion
[Japanese]
Job title
Researcher/The 1st lab./Department of Climate and Geochemistry Research
E-mail
Personal
https://www.atmos.rcast.u-tokyo.ac.jp/shion
Expertise
Climate Dynamics, Meteorology
In particular, variability of tropical convective activity and its remote influences on the extratropical climate
Degree
Ph. D. (Science)
Publications
Journal articles
Sekizawa, S., S. Okajima, A. Miyamoto, T. Miyasaka, H. Kawai, M. Koike, and H. Nakamura (2025), Summer low clouds off southeast of Hokkaido simulated in the Japan Meteorological Agency Meso-Scale Model under different synoptic conditions. SOLA, 21, 24-33.
Sekizawa, S., H. Nakamura, and Y. Kosaka (2023), Interannual variability of the Australian summer monsoon sustained through internal processes: wind-evaporation feedback, dynamical air-sea interaction and soil moisture memory, Journal of Climate, 36(3), 983-1000.
Sekizawa, S., and T. Kohyama (2022), Meteotsunami observed in Japan following the Hunga Tonga eruption in 2022 investigated using a one-dimensional shallow-water model, SOLA, 18, 129-134.
Sekizawa, S., H. Nakamura, and Y. Kosaka (2021), Remote influence of the interannual variability of the Australian summer monsoon on wintertime climate in East Asia and the western North Pacific. Journal of Climate, 34(23), 9551-9570.
Sekizawa, S., T. Miyasaka, H. Nakamura, A. Shimpo, K. Takemura, and S. Maeda (2019), Anomalous moisture transport and oceanic evaporation during a torrential rainfall event over western Japan in early July 2018. SOLA, 15A (Special Edition: Extreme rainfall events in 2017 and 2018), 25-30.
Sekizawa, S., H. Nakamura, and Y. Kosaka (2018), Interannual variability of the Australian summer monsoon system internally sustained through wind-evaporation feedback. Geophysical Research Letters, 45, 7748-7755.
Projects
Research on understanding, assessment and projection of the climate system, and carbon and related biogeochemical cycles
Research on Earth System Modeling suitable for hierarchical structure of weather/climate phenomena