Presentations

Presentations (2020)

  1. Kotsuki S., Miyoshi T., Kondo K. and Potthast R.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. AOGS2020 17th Annual Meeting, June 28-July 4, 2020. (June/July XX, Sono Belle Vivaldi Park, Hongcheon, Korea, XXXX) [Link to Web]
  2. Kotsuki S., Bishop C.,  and Miyoshi T.: Local Ensemble Transform Kalman Filter Experiments with Hybrid Background Error Covariance. The 8th International Symposium on Data Assimilation (ISDA2020), June 8-12, 2020. (June XX, Colorado State University, Fort Collins, XXXX) [Link to Web]
  3. Kotsuki S., Miyoshi T., Kondo K. and Potthast R.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. The 8th International Symposium on Data Assimilation (ISDA2020), June 8-12, 2020. (June XX, Colorado State University, Fort Collins, XXXX) [Link to Web]
  4. Kotsuki S., Sato Y., Terasaki K., Yashiro H., Tomita H., Satoh M., and Miyoshi T.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. The 8th International Symposium on Data Assimilation (ISDA2020), June 8-12, 2020. (June XX, Colorado State University, Fort Collins, XXXX) [Link to Web]
  5. Kotsuki S., Pensoneault A., Okazaki A. and Miyoshi T.: Weight Structure of the Local Ensemble Transform Kalman Filter: A Case with an Intermediate AGCM. The 8th International Symposium on Data Assimilation (ISDA2020), June 8-12, 2020. (June XX, Colorado State University, Fort Collins, XXXX) [Link to Web]
  6. Kotsuki S., Sato Y., Terasaki K., Yashiro H., Tomita H., Satoh M., and Miyoshi T.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. The 9th EnKF Data Assimilation Workshop, June 2-3, 2020. (June XX, Penn State University Park Campus, Penn State, XXXX) [Link to Web]
  7. Kotsuki S., Pensoneault A., Okazaki A. and Miyoshi T.: Weight Structure of the Local Ensemble Transform Kalman Filter: A Case with an Intermediate AGCM. The 9th EnKF Data Assimilation Workshop, June 2-3, 2020. (June XX, Penn State University Park Campus, Penn State, XXXX) [Link to Web]
  8. Kotsuki S., Pensoneault A., Okazaki A. and Miyoshi T.: Weight Structure of the Local Ensemble Transform Kalman Filter: A Case with an Intermediate AGCM. JpGU-AGU Joint Meeting 2020, May 22-28, 2020. (May XX, Makuhari Messe, Chiba, XXXX) [Link to Web]
  9. Kotsuki S., Terasaki K., Satoh M. and Miyoshi T.: Ensemble-Based Data Assimilation of GPM/DPR Reflectivity into the Nonhydrostatic Icosahedral Atmospheric Model NICAM. JpGU-AGU Joint Meeting 2020, May 22-28, 2020. (May XX, Makuhari Messe, Chiba, XXXX) [Link to Web]
  10. ChenY.-W. , Terasaki K., Kotsuki S., Kanemaru K., Satoh M., Miyashi T., and Kubota T.:  The resent progress of the weather forecast system based on the NICAM-LETKF assimilation system. JpGU-AGU Joint Meeting 2020, May 22-28, 2020. (May XX, Makuhari Messe, Chiba, POSTER)
  11. Kotsuki S., Terasaki K., Satoh M. and Miyoshi T.: Ensemble-Based Data Assimilation of GPM/DPR Reflectivity into the Nonhydrostatic Icosahedral Atmospheric Model NICAM. 4th workshop on assimilating satellite cloud and precipitation observations for NWP, Feb. 3-6, 2020. (Feb. 04, ECMWF, Reading, Poster) [Link to Web]
  12. 渡部哲史, 小槻峻司, 齋藤奏磨: 今後の温暖化を踏まえた近年の少雪に関する考察. 土木学会令和2年度全国大会 第75回年次学術講演会, Sep. 9-11, 2020. (Sep. XX, 名古屋工業大学キャンパス, ORAL) [Link to Web]
  13. 小槻峻司: リモートセンシングデータを使った天気予報研究の最前線.千葉大学経済人倶楽部・絆 公開講座, Feb. 21, 2020. (Feb. 21, 千葉大学アカデミックリンクセンター, ORAL) [invited]
  14. 小槻峻司: 全球衛星観測降水データを用いた天気予報システムの高度化.第22回環境リモートセンシングシンポジウム, Feb. 20, 2020. (Feb. 20, 千葉大学けやき会館, ORAL) [Link to Web]

Presentations (2019)

  1. Kotsuki S.: Data Assimilation Research for Global Weather Prediction, The 7th International Symposium on Water Environmental Systems, Nov. 15, 2019 (Nov. 15, Tohoku University, Sendai, ORAL) [invited]
  2. Kotsuki S., Miyoshi T., Kondo K., and Potthast R.: Local Particle Filter Implemented with Minor Modifications to the LETKF Code, AGU Fall Meeting, Dec. 9-13, 2019. (Dec. 9, Moscone Center, San Francisco, ORAL) [Link]
  3. 小槻峻司: データ同化と経験科学の相似性について. 科学基礎論学会, 11/30, 2019 (Nov. 30, 日本大学文理学部, ORAL) [Link to Web[invited]
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