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Ensemble Kalman filter
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201	The current parallel run. We currently have a parallel run which includes a revised set of 16 model configurations (there are also some changes to the configuration of the ensemble Kalman filter). The model configuration Add to Reading List Source URL: www.emc.ncep.noaa.gov - Date: 2005-09-26 16:03:03
202	3806 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 67 Add to Reading List Source URL: typhoon.as.ntu.edu.tw Language: English - Date: 2014-09-04 23:43:18 Statistical forecasting Bayesian statistics Estimation theory Control theory Linear filters Data assimilation Ensemble Kalman filter Kalman filter Tropical cyclone Atmospheric sciences Meteorology Statistics
203	identification_revised.dvi Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2010-02-15 01:17:37 Statistical inference Estimation theory Ensemble Kalman filter Prior probability Importance sampling Bayes estimator Jitter Sampling Resampling Statistics Monte Carlo methods Bayesian statistics
204	Efficient estimation and ensemble generation in climate modelling By J.D. Annan and J. C. Hargreaves FRCGC/JAMSTEC[removed]Showa-machi Kanazawa-ku Yokohama, Kanagawa[removed], Japan Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2012-10-09 02:45:55 Estimation theory Robot control Statistical inference Linear filters Ensemble Kalman filter Particle filter Markov chain Monte Carlo Kalman filter Importance sampling Statistics Monte Carlo methods Probability and statistics
205	Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 137: 503–520, January 2011 B Characteristics of Ensemble Transform Kalman Filter adaptive sampling guidance for tropical cyclones Add to Reading List Source URL: typhoon.as.ntu.edu.tw Language: English - Date: 2014-09-04 23:43:23 Weather prediction Bayesian statistics Estimation theory Statistical forecasting Monte Carlo methods European Centre for Medium-Range Weather Forecasts Data assimilation Weather forecasting Ensemble Kalman filter Atmospheric sciences Meteorology Statistics
206	Efficient identification of ocean thermodynamics in a physical/biogeochemical ocean model with an iterative Importance Sampling method Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2012-10-09 02:45:53 Probability and statistics Estimation theory Statistical inference Mathematics Ensemble Kalman filter Climate sensitivity Prior probability Parameter Bayesian statistics Statistics Monte Carlo methods
207	Clim. Past, 7, 917–933, 2011 www.clim-past.net[removed]doi:[removed]cp[removed] © Author(s[removed]CC Attribution 3.0 License. Climate Add to Reading List Source URL: www.jamstec.go.jp Language: English - Date: 2011-08-25 01:37:24 Climate history Global warming Computational science Monte Carlo methods Climate Global climate model Ensemble Kalman filter Climate ensemble Sea surface temperature Atmospheric sciences Meteorology Climatology
208	Ensemble Kalman Filter: status and new ideas Former students (Shu-Chih Yang, Takemasa Miyoshi, Hong Li, Junjie Liu, Chris Danforth) and Eugenia Kalnay Add to Reading List Source URL: www.emc.ncep.noaa.gov Language: English - Date: 2009-01-05 09:46:29 Bayesian statistics Linear filters Robot control Data assimilation Kalman filter Statistical hypothesis testing Value at risk Variance Statistics Estimation theory Control theory
209	SUMMARY OF TELECONFERENCE DISCUSSION December 18, 2008, 11:00am – 1:00 pm EST Present: J. Whitaker and T. Hamill and X. Wang(NOAA ESRL), C. Bishop and Dan Hodyss (NRL), M. Zupanski (CIRA/CSU), I. Szunyogh and E. Add to Reading List Source URL: www.emc.ncep.noaa.gov Language: English - Date: 2009-01-14 13:25:30 Estimation theory Weather prediction Bayesian statistics Control theory Linear filters Data assimilation Ensemble Kalman filter Kalman filter Bred vector Statistics Atmospheric sciences Meteorology
210	SUMMARY OF TELECONFERENCE DISCUSSION October 19, 2006, 1 0am – 1 pm EST Present: J. Whitaker and T. Hamill (CDC), C. Bishop (NRL), M. Zupanski (CIRA/CSU), I. Szunyogh (UMD), Y. Song, Z. Toth and M. Wei (NCEP/EMC) , Add to Reading List Source URL: www.emc.ncep.noaa.gov Language: English - Date: 2007-01-24 11:26:35 Weather prediction Bayesian statistics Estimation theory Control theory Statistical forecasting Data assimilation GRIB Ensemble Kalman filter BUFR Atmospheric sciences Meteorology Statistics

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