アンサンブルデータ同化のための最適摂動手法に関する研究

(KAKEN)アンサンブルデータ同化のための最適摂動手法に関する研究

Ito, K., M. Kunii, T. Kawabata, K. Saito, K. Aonashi and L. Duc, 2016: Mesoscale hybrid data assimilation system based on JMA nonhydrostatic model. Mon. Wea. Rev., 144, 3417-3439.

Saito, K., Y. Shoji, S. Origuchi and Le Duc, 2017: GPS PWV assimilation with the JMA nonhydrostatic 4DVAR and cloud resolving ensemble forecast for the 2008 August Tokyo metropolitan area local heavy rainfalls. Data Assimilation for Atmospheric, Oceanic and Hydrological Applications, 3, 383-404. doi: 10.1007/978-3-319-43415-5_17.

Duc, L. and K. Saito, 2017: On cost functions in the hybrid variational-ensemble method. Mon. Wea. Rev., 145, 2071-2082.

Saito, K., M. Kunii and K. Araki, 2018: Cloud resolving simulation of a local heavy rainfall event on 26 August 2011 observed in TOMACS. J. Meteor. Soc. Japan, 96A, 175-199.

Duc, L. and K. Saito, 2018: Verification in the presence of observation errors: Bayesian point of view. Quart. J. Roy. Meteor. Soc., 144, 1063-1090.

Fukui, S, T. Iwasaki, K. Saito, H. Seko and M. Kunii, 2018: A feasibility study of the high-resolution regional reanalysis over Japan assimilating only conventional observations as an alternative to the dynamical downscaling. J. Meteor. Soc. Japan. 96, 565-585.

Duc, L, K. Saito and D. Hotta, 2020a: An explanation for the diagonally predominant property of the positive symmetric ensemble transform matrix. J. Meteor. Soc. Japan, 98, 455-462.

Duc, L, K. Saito and D. Hotta, 2020b: Analysis and design of covariance inflation methods using inflation functions. Part 1: Theoretical framework. Quart. J. Roy. Meteor. Soc. 146, 3638-3660.

Duc, L., T. Kawabata, K. Saito and T. Oizumi, 2021: Forecasts of the July 2020 Kyushu heavy rain using a 1000-member ensemble Kalman filter. SOLA, 17, 41-47.

Duc, L., K. Saito and D. Hotta, 2021: Analysis and design of covariance inflation methods using inflation functions. Part 2: Adaptive inflation Quart. J. Roy. Meteor. Soc., 147, 2375-2394.

Saito, K., L. Duc, T. Matsunobu and T. Kurihana, 2021: Perturbations by the ensemble transform. Data Assimilation for Atmospheric, Oceanic and Hydrological Applications, 4, 115-141.