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 | 367 | 2007 |
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 | 349 | 2009 |
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 | 340 | 2014 |
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 | 330 | 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 | 320 | 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 | 287 | 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 | 216 | 2016 |
Data assimilation of CALIPSO aerosol observations TT Sekiyama, TY Tanaka, A Shimizu, T Miyoshi Atmospheric Chemistry and Physics 10 (1), 39-49, 2010 | 184 | 2010 |
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 | 156 | 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 | 151 | 2018 |
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 | 147 | 2013 |
“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 | 141 | 2011 |
Estimating and correcting global weather model error CM Danforth, E Kalnay, T Miyoshi Monthly weather review 135 (2), 281-299, 2007 | 141 | 2007 |
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 | 135 | 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 | 116 | 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 | 115 | 2012 |
Ensemble Kalman filter experiments with a primitive-equation global model T Miyoshi University of Maryland, College Park, 2005 | 114 | 2005 |
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 | 111 | 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 | 110 | 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 | 107 | 2016 |