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Department of Planetology, Graduate School of Science / Faculty of Science,
Kobe University
@Visiting Professor
@Graduate School of Science, Faculty of Science
@Head of 4th Lab, Department of Observation & Data Assimilation, Meteorological Research Institute, Japan Meteorological Agency
I am interested in data assimilation systems, especially for meso-convective systems at storm scale (~10 km). To predict local heavy rainfall events, we need advanced observation systems, numerical models, and data assimilation systems. In addition, it is neccessary to investigate mechanisms of meso-convective systems. Since any predictions include error, we want to quantify the error by using large ensemble systems. All of these topic are range of my study.
Recent Publications:@
Kawabata, T. and G. Ueno, 2020: Non-Gaussian Probability Densities of Convection Initiation and Development Investigated Using a Particle Filter with a Storm-Scale Numerical Weather Prediction Model. Mon. Wea. Rev., 148, 3?20, doi:10.1175/MWR-D-18-0367.1
Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018a: Evaluation of forward operators for polarimetric radars aiming for data assimilation, J. Meteor. Soc. Japan, 96A, 157-174, doi:10.2151/ jmsj.2018-017.
Kawabata, T., T. Schwitalla, A. Adachi, H.-S. Bauer, V. Wulfmeyer, N. Nagumo, and H. Yamauchi, 2018b: Observational operators for dual polarimetric radars in variational data assimilation systems (PolRad VAR v1.0), Geosci. Model Dev., 11, 2493-2501, doi:10.5194/gmd-11-2493-2018 .
Kawabata, T. and Y. Shoji, 2018c: Applications of GNSS Slant Path Delay Data on Meteorology at Storm Scales, InTech Open , 143-168, doi:10.5772/ intechopen.75101.
Kawabata, T., K. Ito, and K. Saito, 2014a: Recent Progress of the NHM-4DVAR towards a Super-High Resolution Data Assimilation. SOLA, 10, 145-149, doi:10.2151/sola.2014-030
Kawabata, T., H. Iwai, H. Seko, Y. Shoji, K. Saito, S. Ishii, and K. Mizutani, 2014b: Impact of Doppler Wind Lidar Assimilation on a Heavy Rainfall Forecast at a Meso-gamma Scale. Mon. Wea. Rev., 142, 4484?4498, doi: 10.1175/MWR-D-13-00362.1
Kawabata, T., Y. Shoji, H. Seko, and K. Saito, 2013: A numerical study on a mesoscale convective system over a subtropical island with 4D-Var assimilation of GPS slant total delays. J. Meteor. Soc. Japan, 91, 705-721. doi: http://dx.doi.org/10.2151/jmsj.2013-510
Kawabata, T., M. Kunii, K. Bessho, T. Nakazawa, N. Kohno, Y. Honda, K. Sawada, 2012: Reanalysis and Reforecast of Typhoon Vera (1959) Using a Mesoscale Four-Dimensional Variational Assimilation System. J. Meteor. Soc. Japan, 90, 467-491. doi: http://dx.doi.org/10.2151/jmsj.2012-403
Kawabata, T., T. Kuroda, H. Seko, and K. Saito, 2011: A cloud-resolving 4D-Var assimilation experiment for a local heavy rainfall event in the Tokyo metropolitan area. Mon. Wea. Rev., 139, 1911-1931. doi: http://dx.doi.org/10.1175/2011MWR3428.1