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Miyoshi, Takemasa, Kondo, Keiichi, Imamura, Toshiyuki (2014) The 10,240-member ensemble Kalman filtering with an intermediate AGCM. Geophysical Research Letters, 41 (14) 5264-5271 doi:10.1002/2014gl060863

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Reference TypeJournal (article/letter/editorial)
TitleThe 10,240-member ensemble Kalman filtering with an intermediate AGCM
JournalGeophysical Research Letters
AuthorsMiyoshi, TakemasaAuthor
Kondo, KeiichiAuthor
Imamura, ToshiyukiAuthor
Year2014 (July 28)Volume41
Issue14
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1002/2014gl060863Search in ResearchGate
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Mindat Ref. ID844967Long-form Identifiermindat:1:5:844967:6
GUID0
Full ReferenceMiyoshi, Takemasa, Kondo, Keiichi, Imamura, Toshiyuki (2014) The 10,240-member ensemble Kalman filtering with an intermediate AGCM. Geophysical Research Letters, 41 (14) 5264-5271 doi:10.1002/2014gl060863
Plain TextMiyoshi, Takemasa, Kondo, Keiichi, Imamura, Toshiyuki (2014) The 10,240-member ensemble Kalman filtering with an intermediate AGCM. Geophysical Research Letters, 41 (14) 5264-5271 doi:10.1002/2014gl060863
In(2014, July) Geophysical Research Letters Vol. 41 (14) American Geophysical Union (AGU)

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Kondo, Keiichi, Miyoshi, Takemasa (2016) Impact of Removing Covariance Localization in an Ensemble Kalman Filter: Experiments with 10 240 Members Using an Intermediate AGCM. Monthly Weather Review, 144. 4849-4865 doi:10.1175/mwr-d-15-0388.1
Miyoshi, Takemasa, Yamane, Shozo (2007) Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 Resolution. Monthly Weather Review, 135. 3841-3861 doi:10.1175/2007mwr1873.1
Miyoshi, Takemasa, Kondo, Keiichi, Terasaki, Koji (2015) Big Ensemble Data Assimilation in Numerical Weather Prediction. Computer, 48. 15-21 doi:10.1109/mc.2015.332
Kang, Ji-Sun, Kalnay, Eugenia, Liu, Junjie, Fung, Inez, Miyoshi, Takemasa, Ide, Kayo (2011) “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation. Journal of Geophysical Research, 116. doi:10.1029/2010jd014673
Enomoto, Takeshi, Hattori, Miki, Miyoshi, Takemasa, Yamane, Shozo (2010) Precursory signals in analysis ensemble spread. Geophysical Research Letters, 37 (8) doi:10.1029/2010gl042723
Otsuka, Shigenori, Miyoshi, Takemasa (2015) A Bayesian Optimization Approach to Multimodel Ensemble Kalman Filter with a Low-Order Model. Monthly Weather Review, 143. 2001-2012 doi:10.1175/mwr-d-14-00148.1
Miyoshi, Takemasa, Kunii, Masaru (2012) The Local Ensemble Transform Kalman Filter with the Weather Research and Forecasting Model: Experiments with Real Observations. Pure and Applied Geophysics, 169 (3) 321-333 doi:10.1007/s00024-011-0373-4
Honda, Takumi, Sato, Yousuke, Miyoshi, Takemasa (2023) Regression-Based Ensemble Perturbations for the Zero-Gradient Issue Posed in Lightning-Flash Data Assimilation with an Ensemble Kalman Filter. Monthly Weather Review, 151 (10) 2573-2586 doi:10.1175/mwr-d-22-0334.1
Miyoshi, Takemasa (2011) The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter. Monthly Weather Review, 139. 1519-1535 doi:10.1175/2010mwr3570.1
Sluka, Travis C., Penny, Stephen G., Kalnay, Eugenia, Miyoshi, Takemasa (2016) Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation. Geophysical Research Letters, 43 (2) 752-759 doi:10.1002/2015gl067238
Sawada, Yohei, Nakaegawa, Tosiyuki, Miyoshi, Takemasa (2018) Hydrometeorology as an Inversion Problem: Can River Discharge Observations Improve the Atmosphere by Ensemble Data Assimilation?. Journal of Geophysical Research: Atmospheres, 123 (2). 848-860 doi:10.1002/2017jd027531
 
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