List of Publications
Updated on 11/21/2012

Peer-reviewed papers

    - in press -
  1. Kang, J.-S., E. Kalnay, T. Miyoshi, J. Liu, and I. Fung, 2012: Estimation of surface carbon fluxes with an advanced data assimilation methodology. J. Geophys. Res., in press. doi:10.1029/2012JD018259
  2. Greybush, S. J., R. J. Wilson, R. N. Hoffman, M. J. Hoffman, T. Miyoshi, K. Ide, T. McConnochie, and E. Kalnay, 2012: Ensemble Kalman Filter Data Assimilation of Thermal Emission Spectrometer (TES) Temperature Retrievals into a Mars GCM. J. Geophys. Res., in press. doi:10.1029/2012JE004097
  3. Kunii, M. and T. Miyoshi, 2012: Including uncertainties of sea surface temperature in an ensemble Kalman filter: a case study of Typhoon Sinlaku (2008). Weather and Forecasting, in press. doi:10.1175/WAF-D-11-00136.1
  4. Miyoshi, T., E. Kalnay, and H. Li, 2012: Estimating and including observation error correlations in data assimilation. Inverse Problems in Science and Engineering. doi:10.1080/17415977.2012.712527

    - 2012 -
  5. Hoffman, M. J., T. Miyoshi, T. Haine, K. Ide, C. W. Brown, and R. Murtugudde, 2012: An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation. J. Atmos. Oceanic Tech., 29, 1542-1557. doi:10.1175/JTECH-D-11-00126.1
  6. Kalnay, E., Y. Ota, T. Miyoshi, and J. Liu, 2012: A Simpler Formulation of Forecast Sensitivity to Observations: Application to Ensemble Kalman Filters. Tellus, 64A, 18462. doi:10.3402/tellusa.v64i0.18462
  7. Miyoshi, T. and M. Kunii, 2012: Using AIRS retrievals in the WRF-LETKF system to improve regional numerical weather prediction. Tellus, 64A, 18408. doi:10.3402/tellusa.v64i0.18408
  8. Yang, S.-C., E. Kalnay, and T. Miyoshi, 2012: Improving EnKF Spinup for Typhoon Assimilation and Prediction. Weather and Forecasting, 27, 878-897. doi:10.1175/WAF-D-11-00153.1
  9. Kunii, M., T. Miyoshi, and E. Kalnay, 2012: Estimating the Impact of Real Observations in Regional Numerical Weather Prediction Using an Ensemble Kalman Filter. Mon. Wea. Rev., 140, 1975-1987. doi:10.1175/MWR-D-11-00205.1
  10. Miyoshi, T. and M. Kunii, 2012: The Local Ensemble Transform Kalman Filter with the Weather Research and Forecasting Model: Experiments with Real Observations. Pure and Appl. Geophys., 169, 321-333. doi:10.1007/s00024-011-0373-4
  11. Saito, K., H. Seko, M. Kunii, and T. Miyoshi, 2012: Effect of lateral boundary perturbations on the breeding method and the local ensemble transform Kalman filter for mesoscale ensemble prediction. Tellus, 64A, 11594. doi:10.3402/tellusa.v64i0.11594

    - 2011 -
  12. Kang, J.-S., E. Kalnay, J. Liu, I. Fung, T. Miyoshi, and K. Ide, 2011: "Variable localization" in an Ensemble Kalman Filter: application to the carbon cycle data assimilation. J. Geophys. Res., 116, D09110. doi:10.1029/2010JD014673
  13. Miyoshi, T., 2011: The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter. Mon. Wea. Rev., 139, 1519-1535. doi:10.1175/2010MWR3570.1
  14. Moteki, Q., K. Yoneyama, R. Shirooka, H. Kubota, K. Yasunaga, J. Suzuki, A. Seiki, N. Sato, T. Enomoto, T. Miyoshi, S. Yamane, 2011: The influence of observations propagated by convectively coupled equatorial waves. Quart. J. Roy. Meteor. Soc., 137, 641-655. doi:10.1002/qj.779
  15. Seko, H., T. Miyoshi, Y. Shoji, and K. Saito, 2011: Data Assimilation Experiments of Precipitable Water Vapor using the LETKF System: Intense Rainfall Event over Japan 28 July 2008. Tellus, 63A, 402-414. doi:10.1111/j.1600-0870.2010.00508.x
  16. Greybush, S. J., E. Kalnay, T. Miyoshi, K. Ide, and B. R. Hunt, 2011: Balance and Ensemble Kalman Filter Localization Techniques. Mon. Wea. Rev., 139, 511-522. doi:10.1175/2010MWR3328.1
  17. Sekiyama, T. T., M. Deushi, and T. Miyoshi, 2011: Operation-Oriented Ensemble Data Assimilation of Total Column Ozone. SOLA, 7, 41-44. doi:10.2151/sola.2011-011

    - 2010 -
  18. Miyoshi, T., T. Komori, H. Yonehara, R. Sakai, and M. Yamaguchi, 2010: Impact of Resolution Degradation of the Initial Condition on Typhoon Track Forecasts. Weather and Forecasting, 25, 1568-1573. doi:10.1175/2010WAF2222392.1
  19. Hoffman, M. J., S. J. Greybush, R. J. Wilson, G. Gyarmati, R. N. Hoffman, E. Kalnay, K. Ide, E. J. Kostelich, T. Miyoshi, and I. Szunyogh, 2010: An Ensemble Kalman Filter Data Assimilation System for the Martian Atmosphere: Implementation and Simulation Experiments. Icarus, 209, 470-481. doi:10.1016/j.icarus.2010.03.034
  20. Schutgens, N. A. J., T. Miyoshi, T. Takemura, and T. Nakajima, 2010: Sensitivity tests for an ensemble Kalman filter for aerosol assimilation. Atmos. Chem. Phys., 10, 6583-6600. doi:10.5194/acp-10-6583-2010 (Discussion Paper in ACPD)
  21. Miyoshi, T., Y. Sato, and T. Kadowaki, 2010: Ensemble Kalman filter and 4D-Var inter-comparison with the Japanese operational global analysis and prediction system. Mon. Wea. Rev., 138, 2846-2866. doi:10.1175/2010MWR3209.1
  22. Enomoto, T., M. Hattori, T. Miyoshi, and S. Yamane, 2010: Precursory signals in analysis ensemble spread. Geophys. Res. Lett., 37, L08804. doi:10.1029/2010GL042723
  23. Schutgens, N. A. J., T. Miyoshi, T. Takemura, and T. Nakajima, 2010: Applying an ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model. Atmos. Chem. Phys., 10, 2561-2576. doi:10.5194/acp-10-2561-2010 (Discussion Paper in ACPD)
  24. Sekiyama, T. T., T. Y. Tanaka, A. Shimizu, and T. Miyoshi, 2010: Data assimilation of CALIPSO aerosol observations. Atmos. Chem. Phys., 10, 39-49. doi:10.5194/acp-10-39-2010 (Discussion Paper in ACPD)

    - 2009 -
  25. Liu, J., E. Kalnay, T. Miyoshi, and C. Cardinali, 2009: Analysis sensitivity calculation within an ensemble Kalman filter. Quart. J. Roy. Meteor. Soc., 135, 1842-1851. doi:10.1002/qj.511
  26. Li, H., E. Kalnay, T. Miyoshi, and C. M. Danforth, 2009: Accounting for Model Errors in Ensemble Data Assimilation. Mon. Wea. Rev., 137, 3407-3419. doi:10.1175/2009MWR2766.1
  27. Inoue, J., T. Enomoto, T. Miyoshi, and S. Yamane, 2009: Impact of observations from Arctic drifting buoys on the reanalysis of surface fields. Geophys. Res. Lett., 36, L08501. doi:10.1029/2009GL037380
  28. Li, H., E. Kalnay, and T. Miyoshi, 2009: Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter. Quart. J. Roy. Meteor. Soc., 135, 523-533. doi:10.1002/qj.371
  29. Yang, S-C., M. Corazza, A. Carrassi, E. Kalnay, and T. Miyoshi, 2009: Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model. Mon. Wea. Rev., 137, 693-709. doi:10.1175/2008MWR2396.1

    - 2008 -
  30. Miyoshi, T. and T. Kadowaki, 2008: Accounting for Flow-dependence in the Background Error Variance within the JMA Global Four-dimensional Variational Data Assimilation System. SOLA, 4, 37-40. doi:10.2151/sola.2008-010

    - 2007 -
  31. Miyoshi, T. and S. Yamane, 2007: Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. Mon. Wea. Rev., 135, 3841-3861. doi:10.1175/2007MWR1873.1
  32. Miyoshi, T., S. Yamane, and T. Enomoto, 2007: Localizing the Error Covariance by Physical Distances within a Local Ensemble Transform Kalman Filter (LETKF). SOLA, 3, 89-92. doi:10.2151/sola.2007-023
  33. Kalnay, E., H. Li, T. Miyoshi, S-C. Yang, and J. Ballabrera, 2007: 4-D-Var or Ensemble Kalman Filter?. Tellus, 59A, 758-773. doi:10.1111/j.1600-0870.2007.00261.x
  34. Kalnay, E., H. Li, T. Miyoshi, S-C. Yang, and J. Ballabrera, 2007: Response to the discussion on "4-D-Var or EnKF?" by Nils Gustafsson. Tellus, 59A, 778-780. doi:10.1111/j.1600-0870.2007.00263.x
  35. Tsuyuki, T. and T. Miyoshi, 2007: Recent Progress of Data Assimilation Methods in Meteorology. J. Meteor. Soc. Japan, 85(2B), 331-361. doi:10.2151/jmsj.85B.331
  36. Miyoshi, T., S. Yamane, and T. Enomoto, 2007: The AFES-LETKF Experimental Ensemble Reanalysis: ALERA. SOLA, 3, 45-48. doi:10.2151/sola.2007-012
  37. Miyoshi, T. and Y. Sato, 2007: Assimilating Satellite Radiances with a Local Ensemble Transform Kalman Filter (LETKF) Applied to the JMA Global Model (GSM). SOLA, 3, 37-40. doi:10.2151/sola.2007-010
  38. Danforth, C. M., E. Kalnay, and T. Miyoshi, 2007: Estimating and Correcting Weather Model Error. Mon. Wea. Rev., 135, 281-299. doi:10.1175/MWR3289.1

    - 2006 -
  39. Miyoshi, T. and K. Aranami, 2006: Applying a Four-dimensional Local Ensemble Transform Kalman Filter (4D-LETKF) to the JMA Nonhydrostatic Model (NHM). SOLA, 2, 128-131. doi:10.2151/sola.2006-033

    - 2005 -
  40. Miyoshi, T., 2005: Ensemble Kalman filter experiments with a primitive-equation global model. Ph.D. dissertation, University of Maryland, College Park, 197pp. Available PDF HERE

Journal papers in Japanese

  1. 三好建正, 2011: アメリカ大学院留学のススメ. 天気, 58, 1091-1095. Available online HERE
  2. 里村雄彦・竹見哲也・野田暁・三好建正・富田浩之・斉藤和雄・日下博幸・重尚一, 2011: 第1回非静力学数値モデルに関する国際ワークショップの報告. 天気, 58, 249-256. Available online HERE
  3. 三好建正, 2010: 雲のデータ同化. 科学, 80, 927-928. Available online HERE
  4. 三好建正, 2010: データ同化への誘い. 天気, 57, 208-211. Available online HERE
  5. 三好建正, 2009: 「1+1>2」―2008年度山本・正野論文賞受賞記念講演―. 天気, 56, 315-323. Available online HERE
  6. 三好建正, 2009: 「4次元変分法とアンサンブル・カルマンフィルタの相互比較に関するワークショップ」及び「データ同化集中コース」参加報告. 天気, 56, 75-82. Available online HERE
  7. 三好建正, 2008: 「第3回アンサンブルデータ同化に関するワークショップ」参加報告. 天気, 55, 591-598. Available online HERE
  8. 余田成男・中澤哲夫・山口宗彦・竹内義明・木本昌秀・榎本剛・岩崎俊樹・向川均・松枝未遠・茂木耕作・三好建正・新野宏・斉藤和雄・瀬古弘・小司禎教, 2008: 日本における顕著現象の予測可能性研究. 天気, 55, 117-126. Available online HERE
  9. 三好建正・本田有機, 2007: 気象学におけるデータ同化. 天気, 54, 287-290. Available online HERE
  10. 秋山博子・有本昌弘・植村立・大石龍太・財城真寿美・佐藤友徳・大楽浩司・田口正和・東塚知己・豊田隆寛・長島佳菜・長野宇規・西澤誠也・西田哲・堀正岳・三好建正・安中さやか・山口耕生・山田和芳・吉川知里・渡邉英嗣, 2006: 日欧先端科学セミナー「気候変動」参加報告. 天気, 53, 913-918. Available online HERE
  11. 三好建正, 2005: アンサンブル・カルマンフィルタ―データ同化とアンサンブル予報の接点―. 天気, 52, 93-104. Available online HERE
  12. 三好建正, 2003: 「Atmospheric Modeling, Data Assimilation and Predictability」 E. Kalnay 著. 天気, 50, 929. Available online HERE

Book chapters

  1. Miyoshi, T., 2010: NHM-LETKF. Tech. Rep. MRI, 62, 159-163.
  2. 三好建正, 2008: カルマンフィルタ. 気象学におけるデータ同化, 気象研究ノート, 露木義・川畑拓也編, 第3章, 69-95.
  3. 三好建正, 2006: アンサンブル・カルマンフィルタ〜データ同化との融合〜. 数値予報課報告・別冊, 気象庁予報部, 第6章, 52, 80-99. Available PDF HERE
  4. 三好建正, 2003: 3次元変分法(JNoVA0)の開発. 数値予報課報告・別冊, 気象庁予報部, 第6.4節, 49, 148-155. Available PDF HERE

Non-refereed papers

  1. Miyoshi, T., Y. Sato, T. Kadowaki, M. Kazumori, R. Sakai, and M. Yamaguchi, 2008: Developments of a local ensemble transform Kalman filter with JMA global model. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, in press. Available PDF HERE
  2. Miyoshi, T. and Y. Sato, 2007: Applying a local ensemble transform Kalman filter to the JMA global model. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 36, 1-09. Available PDF HERE
  3. Miyoshi, T. and K. Aranami, 2007: Applying a local ensemble transform Kalman filter to the JMA nonhydrostatic model. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 36, 1-11. Available PDF HERE
  4. Miyoshi, T. and S. Yamane, 2006: Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 35, 1-19. Available PDF HERE
  5. Miyoshi, T., 2004: Classical Methods Tour of Advanced Data Assimilation using Lorenz '96 Model. Final Report of METO658E, 17pp. Available PDF HERE

Proceedings (Japanese)

  1. 三好建正・佐藤芳昭・門脇隆志, 2008: アンサンブルカルマンフィルタの誤差共分散膨張法の比較. 日本気象学会春季大会予稿集. Available PDF HERE
  2. 三好建正, 2007: 気象庁におけるアンサンブル・カルマンフィルタ開発. 平成19年度「異常気象と長期変動」研究集会報告. Available PDF HERE
  3. 三好建正・門脇隆志・佐藤芳昭, 2007: LETKFにおける衛星放射輝度観測データの最適バイアス補正法. 日本気象学会秋季大会予稿集, B215. Available PDF HERE
  4. 三好建正, 2007: 気象庁でのLETKF開発の近況. 第9回非静力学モデルに関するワークショップ講演予稿集. Available PDF HERE
  5. 三好建正・佐藤芳昭, 2007: 気象庁全球モデルを使ったLETKF実験. 日本気象学会春季大会予稿集, A207. Available PDF HERE
  6. 三好建正・山根省三・榎本剛, 2007: Local patchを使わない新しいLETKFの実装. 日本気象学会春季大会予稿集, P226. Available PDF HERE
  7. 三好建正・荒波恒平, 2006: 気象庁非静力学モデルを使った4次元アンサンブル・カルマンフィルタ. 第8回非静力学モデルに関するワークショップ講演予稿集, 19-20. Available PDF HERE
  8. 三好建正・山根省三・榎本剛, 2006: アンサンブル・カルマンフィルタによる実験的再解析. 平成18年度「異常気象と長期変動」研究集会報告, 6-12. Available PDF HERE
  9. 榎本剛・山根省三・三好建正, 2006:実験的再解析に向けたAFESの改良. 日本気象学会秋季大会予稿集, A204.
  10. 三好建正・山根省三・榎本剛, 2006: AFES-LETKFによる2005年5月以降の実験的再解析. 日本気象学会秋季大会予稿集, A205. Available PDF HERE
  11. 山根省三・三好建正・榎本剛・大淵済, 2006: 大気大循環モデルのアンサンブル実験に見られる擾乱の発展について. 日本気象学会秋季大会予稿集, A206.
  12. 三好建正・荒波恒平, 2006: 気象庁非静力学モデルを使った4次元アンサンブル・カルマンフィルタ. 日本気象学会秋季大会予稿集, A208. Available PDF HERE
  13. 三好建正・山根省三, 2006: 局所アンサンブル変換カルマンフィルタが提案する次世代の再解析プロダクト. 日本気象学会春季大会予稿集, B463. Available PDF HERE
  14. 三好建正・山根省三, 2006: 地球シミュレータを使った局所アンサンブル変換カルマンフィルタの完全モデル実験. 日本気象学会春季大会予稿集, D307. Available PDF HERE
  15. 三好建正 and E. Kalnay, 2005: 全球プリミティブ方程式モデルを使ったアンサンブル・カルマンフィルタ実験. 日本気象学会秋季大会予稿集, D155. Available PDF HERE
  16. 三好建正 and E. Kalnay, 2005: Breeding法のアンサンブル摂動生成におけるStochastic seedingの効果. 日本気象学会秋季大会予稿集, D156. Available PDF HERE
  17. 三好建正, 2003: 3次元変分法(JNoVA0)の毎時解析による非静力学モデル(NHM)の予報例−2003年1月27日の成田空港付近の局所前線−. 日本気象学会春季大会予稿集, B403. Available PDF HERE
  18. 三好建正, 2002: 気象庁における非静力学モデル用変分法データ同化システム(JNoVA)の開発. 第4回非静力学モデルに関するワークショップ講演予稿集. Available PDF HERE

Proceedings (excluding Japanese)

  1. Miyoshi, T. and M. Kunii, 2010: Development of the local ensemble transform Kalman filter with the WRF model. Extended abstract of the 1st International Workshop on Nonhydrostatic Numerical Models, September 2010, 2pp.
  2. Miyoshi, T., E. Kalnay, and H. Li, 2009: Estimation of observation error correlation and the treatment in ensemble Kalman filter. Extended abstract of the 5th WMO Symposium on Data Assimilation, October 2009, 8pp.
  3. Miyoshi, T., K. Ide, J. McWilliams, Z. Li, Y. Uchiyama, and E. Kalnay, 2009: Ensemble Data Assimilation for Idealized California Current System with ROMS-LETKF. Extended abstract of the 5th WMO Symposium on Data Assimilation, October 2009, 8pp.
  4. Miyoshi, T., S. Yamane, Y. Sato, K. Aranami, and T. Enomoto, 2007: Recent development of global and regional local ensemble transform Kalman filters (LETKF) at JMA. Extended abstract of the AMS annual meeting, January 2007, 4.3. Available PDF HERE
  5. Li, H., E. Kalnay, T. Miyoshi, and C. M. Danforth, 2007: Ensemble Kalman filter in the presence of model errors. Extended abstract of the AMS annual meeting, January 2007, 4.8.
  6. Kalnay, E., H. Li, and T. Miyoshi, 2007: Adaptive estimation of background and observation errors within local ensemble transform kalman filter. Extended abstract of the AMS annual meeting, January 2007, 7.2A.
  7. Miyoshi, T., S. Yamane, and T. Enomoto, 2006: Experimental reanalysis using AFES-LETKF at a T159/L48 resolution. Extended abstract of the Second THORPEX International Science Symposium (STISS), WMO/TD No. 1355, 154-155.
  8. Enomoto, T., S. Yamane, and T. Miyoshi, 2006: Simulations of the intra-seasonal oscillation in the tropics with ensemble techniques. Extended abstract of the Second THORPEX International Science Symposium (STISS), WMO/TD No. 1355, 84-85.
  9. Miyoshi, T. and S. Yamane, 2006: Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. EGU General Assembly 2006, Geophysical Research Abstracts, 8, 2468.
  10. Liu, J., E. Kalnay, and T. Miyoshi, 2006: Adaptive Observation Strategies with the Local Ensemble Transform Kalman Filter. Extended abstract of the AMS annual meeting, January 2006, 2.7. Available PDF HERE
  11. Li, H., E. Kalnay, T. Miyoshi, and C. M. Danforth, 2006: Estimation of Model Errors in the Local Ensemble Transform Kalman Filter. Extended abstract of the AMS annual meeting, January 2006, 6.2. Available PDF HERE
  12. Yang, S.-C., M. Corazza, A. Carrassi, E. Kalnay, and T. Miyoshi, 2006: Comparison of Ensemble-based and Variational-based Data Assimilation Schemes in a Quasi-geostrophic Model. Extended abstract of the AMS annual meeting, January 2006, 6.11. Available PDF HERE
  13. Miyoshi, T., 2003: JNoVA Project - JMA Nonhydrostatic Model based Variational Data Assimilation System -. Proceeding of International Workshop on NWP Models for Heavy Precipitation in Asia and Pacific Areas, Feb. 2003, JMA.
  14. Miyoshi, T., 2003: 3D-Var Control Variables Designed for the JMA Nonhydrostatic Model. Abstracts for the International Workshop on GPS Meteorology Extra Session, Jan. 2003, Meteorological Research Institute, Tsukuba, Japan.