Takemasa Miyoshi
Takemasa Miyoshi
Team Leader of Data Assimilation Research Team, RIKEN Center for Computational Science
Verified email at riken.go.jp - Homepage
Cited by
Cited by
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
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
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
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
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), 1-32, 2014
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
Data assimilation of CALIPSO aerosol observations
TT Sekiyama, TY Tanaka, A Shimizu, T Miyoshi
Atmospheric Chemistry and Physics 10 (1), 39-49, 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
Estimating and correcting global weather model error
CM Danforth, E Kalnay, T Miyoshi
Monthly weather review 135 (2), 281-299, 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
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
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
Ensemble Kalman filter experiments with a primitive-equation global model
T Miyoshi
Accounting for model errors in ensemble data assimilation
H Li, E Kalnay, T Miyoshi, CM Danforth
Monthly Weather Review 137 (10), 3407-3419, 2009
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
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
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
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
Effective assimilation of global precipitation: Simulation experiments
GY Lien, E Kalnay, T Miyoshi
Tellus A: Dynamic Meteorology and Oceanography 65 (1), 19915, 2013
Applying a four-dimensional local ensemble transform Kalman filter (4D-LETKF) to the JMA nonhydrostatic model (NHM)
T Miyoshi, K Aranami
Sola 2, 128-131, 2006
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