Takemasa Miyoshi

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Eugenia KalnayDistinguished University Professor, University of MarylandVerified email at umd.edu
Hirofumi TomitaRIKEN Center for Computational ScienceVerified email at riken.go.jp
Shunji Kotsuki, Ph. D.Professor, IAAR, Chiba UniversityVerified email at chiba-u.jp
Shigenori OtsukaRIKEN Center for Computational Science / RIKEN Cluster for Pioneering Research / RIKEN iTHEMSVerified email at gfd-dennou.org
Koji TerasakiMeteorological Research Agency, Japan Meteorological AgencyVerified email at mri-jma.go.jp
Yasumitsu MaejimaRIKENVerified email at riken.jp
Juan RuizCIMA-UMI-IFAECI, Department of Atmospheric and Oceanic SciencesVerified email at cima.fcen.uba.ar
Takeshi EnomotoDisaster Prevention Research Institute, Kyoto UniversityVerified email at kyoto-u.ac.jp
Masaru KuniiMeteorological Research InstituteVerified email at mri-jma.go.jp
Hisashi YASHIRONational Institute for Environmental StudiesVerified email at nies.go.jp
Guo-Yuan LienResearch and Development Center, Central Weather Bureau, TaiwanVerified email at cwb.gov.tw
Masaki SatohAtmosphere and Ocean Research Institute, The University of TokyoVerified email at aori.u-tokyo.ac.jp
Shu-Chih YangDepartment of Atmospheric Sciences, National Central UniversityVerified email at atm.ncu.edu.tw
Hiromu SekoMeteorological Research InstituteVerified email at mri-jma.go.jp
Tomoo UshioProfessor of Electrical Engineering, Osaka UniversityVerified email at eei.eng.osaka-u.ac.jp
Seiya NishizawaRIKEN Center for Computational ScienceVerified email at gfd-dennou.org
Yutaka IshikawaNII, National Institute of InformaticsVerified email at is.s.u-tokyo.ac.jp
Takumi HondaUniversity of TokyoVerified email at mail.u-tokyo.ac.jp
Matthew J. HoffmanProfessor of Mathematics and Statistics, Rochester Institute of TechnologyVerified email at rit.edu
Arata AmemiyaRIKEN R-CCSVerified email at riken.jp

Takemasa Miyoshi

Team Leader of Data Assimilation Research Team, RIKEN Center for Computational Science

Verified email at riken.go.jp - Homepage

Data Assimilation Numerical Weather Prediction Meteorology


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4-D-Var or ensemble Kalman filter? E Kalnay, H Li, T Miyoshi, SC Yang, J Ballabrera-Poy Tellus A: Dynamic Meteorology and Oceanography 59 (5), 758-773, 2007	379	2007
The non-hydrostatic icosahedral atmospheric model: Description and development M Satoh, H Tomita, H Yashiro, H Miura, C Kodama, T Seiki, AT Noda, ... Progress in Earth and Planetary Science 1, 1-32, 2014	358	2014
Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter H Li, E Kalnay, T Miyoshi Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2009	357	2009
Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution T Miyoshi, S Yamane Monthly Weather Review 135 (11), 3841-3861, 2007	342	2007
The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter T Miyoshi Monthly weather review 139 (5), 1519-1535, 2011	330	2011
Balance and ensemble Kalman filter localization techniques SJ Greybush, E Kalnay, T Miyoshi, K Ide, BR Hunt Monthly Weather Review 139 (2), 511-522, 2011	301	2011
Modeling sustainability: population, inequality, consumption, and bidirectional coupling of the Earth and Human Systems S Motesharrei, J Rivas, E Kalnay, GR Asrar, AJ Busalacchi, RF Cahalan, ... National Science Review 3 (4), 470-494, 2016	245	2016
Data assimilation of CALIPSO aerosol observations TT Sekiyama, TY Tanaka, A Shimizu, T Miyoshi Atmospheric Chemistry and Physics 10 (1), 39-49, 2010	189	2010
Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015) T Honda, T Miyoshi, GY Lien, S Nishizawa, R Yoshida, SA Adachi, ... Monthly Weather Review 146 (1), 213-229, 2018	168	2018
Ensemble Kalman filter and 4D-Var intercomparison with the Japanese operational global analysis and prediction system T Miyoshi, Y Sato, T Kadowaki Monthly Weather Review 138 (7), 2846-2866, 2010	161	2010
Estimating model parameters with ensemble-based data assimilation: A review JJ Ruiz, M Pulido, T Miyoshi Journal of the Meteorological Society of Japan. Ser. II 91 (2), 79-99, 2013	155	2013
Estimating and correcting global weather model error CM Danforth, E Kalnay, T Miyoshi Monthly weather review 135 (2), 281-299, 2007	148	2007
“Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation JS Kang, E Kalnay, J Liu, I Fung, T Miyoshi, K Ide Journal of Geophysical Research: Atmospheres 116 (D9), 2011	143	2011
Localizing the error covariance by physical distances within a local ensemble transform Kalman filter (LETKF) T Miyoshi, S Yamane, T Enomoto Sola 3, 89-92, 2007	138	2007
The 10,240‐member ensemble Kalman filtering with an intermediate AGCM T Miyoshi, K Kondo, T Imamura Geophysical Research Letters 41 (14), 5264-5271, 2014	124	2014
The local ensemble transform Kalman filter with the Weather Research and Forecasting model: Experiments with real observations T Miyoshi, M Kunii Pure and applied geophysics 169 (3), 321-333, 2012	120	2012
Applying an ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model NAJ Schutgens, T Miyoshi, T Takemura, T Nakajima Atmospheric Chemistry and Physics 10 (5), 2561-2576, 2010	116	2010
Ensemble Kalman filter experiments with a primitive-equation global model T Miyoshi University of Maryland, College Park, 2005	115	2005
A simpler formulation of forecast sensitivity to observations: Application to ensemble Kalman filters E Kalnay, Y Ota, T Miyoshi, J Liu Tellus A: Dynamic Meteorology and Oceanography 64 (1), 18462, 2012	114	2012
Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation TC Sluka, SG Penny, E Kalnay, T Miyoshi Geophysical Research Letters 43 (2), 752-759, 2016	113	2016

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