Arata Amemiya is a researcher in the fields of meteorology, numerical weather forecasting and data assimilation. His research interests include weather and climate dynamics, atmospheric modeling, and theories and application of data assimilation.
He worked at RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) and Center for Computational Science (R-CCS), Kobe, Japan. He was mainly working on PREVENIR, a Japan-Argentina collaborative project under JICA/JST SATREPS program. He was also a developer and maintainer of the SCALE-LETKF, a regional data assimilation and numerical weather prediction system.
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Recent updates

2026.1.5A first-author paper "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" was published in Nonlinear Processes in Geophysics. (npg-2026 33(1) 1-16)
2025.6.25A first-author paper "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" was submitted to Nonlinear Processes in Geophysics and is now under peer-review. The preprint is available online at EGUsphere. (egusphere-2025-2543)
2025.3.17"Real-time 30-second-refresh numerical weather prediction using Fugaku" is awarded RIKEN Baiho Prize. (RIKEN announcement: Japanese page)
2024.4.15The top page and Research updated.
2023.11.14Our real-time precipitation forecasting experiment using Fugaku in 2021 is nominated as a finalist for the 2023 Gordon Bell Prize for Climate Modelling.(RIKEN announcement)(research article)
2023.10.02Profile updated.
2023.1.16A first-author paper "Application of recurrent neural networks to model bias correction: idealized experiments with the Lorenz-96 model"(Amemiya et al. 2023) was accepted by Journal of Advances in Modeling Earth Systems.
2020.10.8A first-author paper was accepted by Atmospheric Chemistry and Physics.(Amemiya and Sato, 2020)