14th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

Session 10A

 Advanced Methods for Data Assimilation I
 Chair: Kayo Ide, University of Maryland, College Park, MD
4:00 PM10A.1Regularization of error covariance with the Gaussian graphical model  
Genta Ueno, The Institute of Statistical Mathematics, Tokyo, Japan; and T. Tsuchiya
4:15 PM10A.2A Bayesian method for estimating stochastic parameters  
Xiaosong Yang, NOAA/GFDL, Princeton, NJ; and T. DelSole
4:30 PM10A.3Improve Ensemble-Based State Estimation and Forecasting with Simultaneous Parameter Estimation  
Xiao-Ming Hu, The University of Oklahoma, Norman, OK; and J. W. Nielsen-Gammon and F. Zhang
4:45 PM10A.4On the use of model physics parameters as control variables in data assimilation systems  
Derek J. Posselt, University of Michigan, Ann Arbor, MI
5:00 PM10A.5Impact of “variable localization” in the background error covariance matrix within the Local Ensemble Transform Kalman Filter  
Eugenia Kalnay, Univ. of Maryland, College Park, MD; and J. S. Kang and K. Ide
5:15 PM10A.6What constrains the growth of spread in ensemble Kalman filters?  
Tom Hamill, NOAA/ESRL, Boulder, CO; and J. Whitaker

Wednesday, 20 January 2010: 4:00 PM-5:30 PM, B207

* - Indicates paper has been withdrawn from meeting

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