近藤 圭一 / Keiichi Kondo

English
事項詳細
所属・職名環境・応用気象研究部・第一研究室・研究官
連絡先
個人ページ
専門分野データ同化、気象学、大気化学
学位博士(理学)
受賞歴、委員等 受賞歴
  • Best poster award (The fourth International Symposium on Data Assimilation, 2014)
委員
発表論文
  • Kondo, K., and H. L. Tanaka, 2009: Comparison of the extended Kalman filter and the ensemble Kalman filter using the barotropic general circulation model. J. Meteor. Soc. Japan, 87, 347-359.
  • Kondo, K., and H. L. Tanaka, 2009: Applying the local ensemble transform Kalman filter to the nonhydrostatic icosahedral atmospheric model (NICAM). SOLA, 5, 121-124.
  • Kondo, K., T. Miyoshi, and H. L. Tanaka: Parameter sensitivities of the dual-localization approach in the local ensemble transform Kalman filter. SOLA, 9, 174–178.
  • Kondo, K., and T. Miyoshi, 2016: Impact of removing covariance localization in an ensemble Kalman filter: experiments with 10240 members using an intermediate AGCM. Mon. Wea. Rev., 144, 4849-4865.
  • Miyoshi, T., and K. Kondo, 2013: A multi-scale localization approach to an ensemble Kalman filter. SOLA, 9, 170–173.
  • Miyoshi, T., K. Kondo, and T. Imamura, 2014: 10240-member ensemble Kalman filtering with an intermediate AGCM. Geophys. Res. Lett., 41, 5264–5271.
  • Miyoshi, T., K. Kondo, and K. Terasaki, 2015: Numerical Weather Prediction with Big Ensemble Data Assimilation. Computer, 48, pp. 15-21.
  • Yang S.-C., S.-H. Chen, K. Kondo, T. Miyoshi, Y.-C. Liou, Y.-L. Teng and H.-L. Chang, 2017: Multi-localization data assimilation for predicting heavy precipitation associated with a multi-scale weather system. J. Adv. Modeling Earth Systems, 9, 1684-1702.
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