ISHIBASHI, Toshiyuki

[Japanese]


Job title	Senior Researcher / The 1st Lab. / Department of Observation and Data Assimilation Research
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Expertise	Data assimilation
Degree	Doctor of Science
Publications	Ishibashi, T., 2020: Improvement of accuracy of global numerical weather prediction using refined error covariance matrices. Monthly Weather Review, 148, 2623-2643. Ishibashi, T., 2018: Adjoint-Based Observation Impact Estimation with Direct Verification Using Forward Calculation. Monthly Weather Review, 146, 2837-2858. Ishibashi, T., 2015: Tensor Formulation of Ensemble-Based Background Error Covariance Matrix Factorization. Monthly Weather Review, 143, 4963-4973. Ishibashi, T., 2014: Observing system simulation experiments with multiple Methods. Proc. of SPIE, 9265, 926508-12. Ishibashi, T., 2012: Simplified basic state update in the JMA global 4D-Var. CAS/JSC WGNE Res. Activities in Atm. And Oceanic Modelling, 42 Ishibashi, T., 2011: Tangent linear approximation based observation data impact estimation in 4D-Var. Q.J.R. Meteorol. Soc., 137: 1898-1912. Ishibashi, T., 2011: Cloudy radiance assimilation with extension of control variables in 4D-Var. CAS/JSC WGNE Res. Activities in Atm. And Oceanic Modelling, 41 Ishibashi, T., 2011: Effects of basic state update in the JMA global 4D-Var. CAS/JSC WGNE Res. Activities in Atm. And Oceanic Modelling, 41 Fujii, Y., T. Ishibashi, T. Yasuda, Y. Takaya, C. Kobayashi, and I. Ishikawa, 2021: Improvements in tropical precipitation and sea surface air temperature fields in a coupled atmosphere?ocean data assimilation system. Quarterly Journal of the Royal Meteorological Society, 147, 1317-1343. Okamoto, K., T. Ishibashi, S. Ishii, P. Baron, K. Gamo, T. Y. Tanaka, K. Yamashita, and T. Kubota, 2018: Feasibility study for future space-borne coherent Doppler wind lidar. part 3: Impact assessment using sensitivity observing system simulation experiments. Journal of the Meteorological Society of Japan, 96, 179-199.
Project	Research on Data Assimilation Technologies and High-level Use of Observation Data