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Takuya Kawabata
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A pre‐operational variational data assimilation system for a non‐hydrostatic model at the Japan Meteorological Agency: Formulation and preliminary results
Y Honda, M Nishijima, K Koizumi, Y Ohta, K Tamiya, T Kawabata, ...
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2005
1772005
An assimilation and forecasting experiment of the Nerima heavy rainfa11 with a cloud-resolving nonhydrostatic 4-dimensional variational data assimilation system
T Kawabata, H Seko, K Saito, T Kuroda, K Tamiya, T Tsuyuki, Y Honda, ...
Journal of the Meteorological Society of Japan. Ser. II 85 (3), 255-276, 2007
942007
A cloud-resolving 4DVAR assimilation experiment for a local heavy rainfall event in the Tokyo metropolitan area
T Kawabata, T Kuroda, H Seko, K Saito
Monthly Weather Review 139 (6), 1911-1931, 2011
802011
Impacts of GPS-derived water vapor and radial wind measured by Doppler radar on numerical prediction of precipitation
H Seko, T Kawabata, T Tsuyuki, H Nakamura, K Koizumi, T Iwabuchi
Journal of the Meteorological Society of Japan. Ser. II 82 (1B), 473-489, 2004
662004
A numerical study on a mesoscale convective system over a subtropical island with 4D-Var assimilation of GPS slant total delays
T Kawabata, Y Shoji, H Seko, K Saito
Journal of the Meteorological Society of Japan. Ser. II 91 (5), 705-721, 2013
382013
Cloud-resolving 4D-Var assimilation of Doppler wind lidar data on a meso-gamma-scale convective system
T Kawabata, H Iwai, H Seko, Y Shoji, K Saito, S Ishii, K Mizutani
Monthly Weather Review 142 (12), 4484-4498, 2014
332014
Forecasts of the July 2020 Kyushu heavy rain using a 1000-member ensemble Kalman filter
L Duc, T Kawabata, K Saito, T Oizumi
SOLA 17, 41-47, 2021
182021
Non-Gaussian probability densities of convection initiation and development investigated using a particle filter with a storm-scale numerical weather prediction model
T Kawabata, G Ueno
Monthly Weather Review 148 (1), 3-20, 2020
162020
Observational operators for dual polarimetric radars in variational data assimilation systems (PolRad VAR v1. 0)
T Kawabata, T Schwitalla, A Adachi, HS Bauer, V Wulfmeyer, N Nagumo, ...
Geoscientific Model Development 11 (6), 2493-2501, 2018
152018
Mesoscale hybrid data assimilation system based on JMA nonhydrostatic model
K Ito, M Kunii, T Kawabata, K Saito, K Aonashi, L Duc
Monthly Weather Review 144 (9), 3417-3439, 2016
82016
Evaluation of forward operators for polarimetric radars aiming for data assimilation
T Kawabata, HS Bauer, T Schwitalla, V Wulfmeyer, A Adachi
Journal of the Meteorological Society of Japan 96 (A), 157-174, 2018
72018
Simultaneous optimization of air-sea exchange coefficients and initial conditions near a tropical cyclone using JNoVA
K Ito, T Kawabata, T Kato, Y Honda, Y Ishikawa, T Awaji
Journal of the Meteorological Society of Japan. Ser. II 91 (3), 337-353, 2013
72013
Recent progress of the NHM-4DVAR towards a super-high resolution data assimilation
T Kawabata, K Ito, K Saito
SOLA 10, 145-149, 2014
62014
Meso-γ-scale convective systems observed by a 443-MHz wind-profiling radar with RASS in the Okinawa subtropical region
A Mikami, T Kawabata, S Satoh, JI Furumoto, S Nagai, Y Murayama, ...
Journal of Atmospheric and Solar-Terrestrial Physics 73 (9), 996-1009, 2011
62011
Reanalysis and Reforecast of Typhoon Vera (1959) Using a Mesoscale Four-Dimensional Variational Assimilation System
T Kawabata, M Kunii, K Bessho, T Nakazawa, N Kohno, Y Honda, ...
Journal of the Meteorological Society of Japan. Ser. II 90 (4), 467-491, 2012
52012
Ensemble rainfall–runoff and inundation simulations using 100 and 1000 member rainfalls by 4D LETKF on the Kumagawa River flooding 2020
K Kobayashi, L Duc, T Kawabata, A Tamura, T Oizumi, K Saito, D Nohara, ...
Progress in Earth and Planetary Science 10 (1), 1-22, 2023
42023
Applications of GNSS Slant Path Delay Data on Meteorology at Storm Scales
T Kawabata, Y Shoji
Multifunctional Operation and Application of GPS, 2018
42018
Effects of Flow Dependency Introduced by Background Error in Frequent and Dense Assimilation of Radial Winds Using Observation Error Correlated in Time and Space
T Fujita, H Seko, T Kawabata
Monthly Weather Review 150 (3), 481-503, 2022
22022
雲解像粒子フィルタを用いた積乱雲の非ガウス性に関する研究
川畑拓矢上野玄太
統計数理 70 (2), 133-151, 2022
2022
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