The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman FilterMIYOSHI, Takemasa.Monthly weather review. 2011, Vol 139, Num 5, pp 1519-1535, issn 0027-0644, 17 p.Article

Including Uncertainties of Sea Surface Temperature in an Ensemble Kalman Filter: A Case Study of Typhoon Sinlaku (2008)KUNII, Masaru; MIYOSHI, Takemasa.Weather and forecasting. 2012, Vol 27, Num 6, pp 1586-1597, issn 0882-8156, 12 p.Article

Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 ResolutionMIYOSHI, Takemasa; YAMANE, Shozo.Monthly weather review. 2007, Vol 135, Num 11, pp 3841-3861, issn 0027-0644, 21 p.Article

Precursory signals in analysis ensemble spreadENOMOTO, Takeshi; HATTORI, Miki; MIYOSHI, Takemasa et al.Geophysical research letters. 2010, Vol 37, Num 8, issn 0094-8276, L08804.1-L08804.4Article

Impact of observations from Arctic drifting buoys on the reanalysis of surface fieldsINOUE, Jun; ENOMOTO, Takeshi; MIYOSHI, Takemasa et al.Geophysical research letters. 2009, Vol 36, Num 8, issn 0094-8276, L08501.1-L08501.5Article

Estimating and correcting global weather model errorDANFORTH, Christopher M; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Monthly weather review. 2007, Vol 135, Num 2, pp 281-299, issn 0027-0644, 19 p.Article

Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filterHONG LI; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Quarterly Journal of the Royal Meteorological Society. 2009, Vol 135, Num 639, pp 523-533, issn 0035-9009, 11 p.Article

Estimating the Impact of Real Observations in Regional Numerical Weather Prediction Using an Ensemble Kalman FilterKUNII, Masaru; MIYOSHI, Takemasa; KALNAY, Eugenia et al.Monthly weather review. 2012, Vol 140, Num 6, pp 1975-1987, issn 0027-0644, 13 p.Article

Accelerating the EnKF Spinup for Typhoon Assimilation and PredictionYANG, Shu-Chih; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Weather and forecasting. 2012, Vol 27, Num 4, pp 878-897, issn 0882-8156, 20 p.Article

Ensemble Kalman Filter and 4D-Var Intercomparison with the Japanese Operational Global Analysis and Prediction SystemMIYOSHI, Takemasa; SATO, Yoshiaki; KADOWAKI, Takashi et al.Monthly weather review. 2010, Vol 138, Num 7, pp 2846-2866, issn 0027-0644, 21 p.Article

Analysis sensitivity calculation in an ensemble Kalman filterJUNJIE LIU; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Quarterly Journal of the Royal Meteorological Society. 2009, Vol 135, Num 644, pp 1842-1851, issn 0035-9009, 10 p.Article

Data assimilation experiments of precipitable water vapour using the LETKF system: intense rainfall event over Japan 28 July 2008SEKO, Hiromu; MIYOSHI, Takemasa; SHOJI, Yoshinori et al.Tellus. Series A, Dynamic meteorology and oceanography. 2011, Vol 63, Num 3, pp 402-414, issn 0280-6495, 13 p.Article

Accounting for Model Errors in Ensemble Data AssimilationHONG LI; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Monthly weather review. 2009, Vol 137, Num 10, pp 3407-3419, issn 0027-0644, 13 p.Article

Impact of Resolution Degradation of the Initial Condition on Typhoon Track ForecastsMIYOSHI, Takemasa; KOMORI, Takuya; YONEHARA, Hitoshi et al.Weather and forecasting. 2010, Vol 25, Num 5, pp 1568-1573, issn 0882-8156, 6 p.Article

The Local Ensemble Transform Kalman Filter with the Weather Research and Forecasting Model: Experiments with Real ObservationsMIYOSHI, Takemasa; KUNII, Masaru.Pure and applied geophysics (Printed ed.). 2012, Vol 169, Num 3, pp 321-333, issn 0033-4553, 13 p.Article

Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic ModelYANG, Shu-Chih; CORAZZA, Matteo; CARRASSI, Alberto et al.Monthly weather review. 2009, Vol 137, Num 2, pp 693-709, issn 0027-0644, 17 p.Article

Estimation of surface carbon fluxes with an advanced data assimilation methodologyKANG, Ji-Sun; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Journal of geophysical research. 2012, Vol 117, Num D24, issn 0148-0227, D24101.1-D24101.18Article

Balance and Ensemble Kalman Filter Localization TechniquesGREYBUSH, Steven J; KALNAY, Eugenia; MIYOSHI, Takemasa et al.Monthly weather review. 2011, Vol 139, Num 2, pp 511-522, issn 0027-0644, 12 p.Article

4-D-Var or ensemble Kalman filter? DiscussionKALNAY, Eugenia; HONG LI; MIYOSHI, Takemasa et al.Tellus. Series A, Dynamic meteorology and oceanography. 2007, Vol 59, Num 5, pp 758-780, issn 0280-6495, 23 p.Article

The influence of observations propagated by convectively coupled equatorial wavesMOTEKI, Qoosaku; YONEYAMA, Kunio; YAMANE, Shozo et al.Quarterly Journal of the Royal Meteorological Society. 2011, Vol 137, Num 656, pp 641-655, issn 0035-9009, 15 p., aArticle

An ensemble Kalman filter data assimilation system for the martian atmosphere: Implementation and simulation experimentsHOFFMAN, Matthew J; GREYBUSH, Steven J; WILSON, R. John et al.Icarus (New York, N.Y. 1962). 2010, Vol 209, Num 2, pp 470-481, issn 0019-1035, 12 p.Article

Ensemble Kalman filter data assimilation of Thermal Emission Spectrometer temperature retrievals into a Mars GCMGREYBUSH, Steven J; WILSON, R. John; HOFFMAN, Ross N et al.Journal of geophysical research. 2012, Vol 117, Num E11, issn 0148-0227, E11008.1-E11008.17Article