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. All of these topic are range of my study.
Recent Publications:
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