Takemasa Miyoshi

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Eugenia KalnayDistinguished University Professor, University of MarylandZweryfikowany adres z umd.edu
Hirofumi TomitaRIKEN Center for Computational ScienceZweryfikowany adres z riken.go.jp
Shunji Kotsuki, Ph. D.Professor, IAAR, Chiba UniversityZweryfikowany adres z chiba-u.jp
Shigenori OtsukaRIKEN Center for Computational Science / RIKEN Cluster for Pioneering Research / RIKEN iTHEMSZweryfikowany adres z gfd-dennou.org
Koji TerasakiMeteorological Research Agency, Japan Meteorological AgencyZweryfikowany adres z mri-jma.go.jp
Yasumitsu MaejimaRIKENZweryfikowany adres z riken.jp
Takeshi EnomotoDisaster Prevention Research Institute, Kyoto UniversityZweryfikowany adres z kyoto-u.ac.jp
Juan RuizCIMA-UMI-IFAECI, Department of Atmospheric and Oceanic SciencesZweryfikowany adres z cima.fcen.uba.ar
Masaru KuniiMeteorological Research InstituteZweryfikowany adres z mri-jma.go.jp
Hisashi YASHIRONational Institute for Environmental StudiesZweryfikowany adres z nies.go.jp
Guo-Yuan LienResearch and Development Center, Central Weather Bureau, TaiwanZweryfikowany adres z cwb.gov.tw
Shu-Chih YangDepartment of Atmospheric Sciences, National Central UniversityZweryfikowany adres z atm.ncu.edu.tw
Masaki SatohAtmosphere and Ocean Research Institute, The University of TokyoZweryfikowany adres z aori.u-tokyo.ac.jp
Hiromu SekoMeteorological Research InstituteZweryfikowany adres z mri-jma.go.jp
Tomoo UshioProfessor of Electrical Engineering, Osaka UniversityZweryfikowany adres z eei.eng.osaka-u.ac.jp
Yutaka IshikawaNII, National Institute of InformaticsZweryfikowany adres z is.s.u-tokyo.ac.jp
Seiya NishizawaRIKEN Center for Computational ScienceZweryfikowany adres z gfd-dennou.org
Takumi HondaUniversity of TokyoZweryfikowany adres z mail.u-tokyo.ac.jp
Matthew J. HoffmanProfessor of Mathematics and Statistics, Rochester Institute of TechnologyZweryfikowany adres z rit.edu
Arata AmemiyaRIKEN R-CCSZweryfikowany adres z riken.jp

Obserwuj

Takemasa Miyoshi

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

Zweryfikowany adres z riken.go.jp - Strona główna

Data Assimilation Numerical Weather Prediction Meteorology


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	381	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	362	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	356	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	341	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	246	2016
Data assimilation of CALIPSO aerosol observations TT Sekiyama, TY Tanaka, A Shimizu, T Miyoshi Atmospheric Chemistry and Physics 10 (1), 39-49, 2010	199	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	173	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	163	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	157	2013
Estimating and correcting global weather model error CM Danforth, E Kalnay, T Miyoshi Monthly weather review 135 (2), 281-299, 2007	149	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	147	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	142	2007
“Big data assimilation” revolutionizing severe weather prediction T Miyoshi, M Kunii, J Ruiz, GY Lien, S Satoh, T Ushio, K Bessho, H Seko, ... Bulletin of the American Meteorological Society 97 (8), 1347-1354, 2016	124	2016
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	120	2010
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	116	2012
Ensemble Kalman filter experiments with a primitive-equation global model T Miyoshi University of Maryland, College Park, 2005	116	2005

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