10A
Advanced Methods for Data Assimilation I

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
Wednesday, 20 January 2010: 4:00 PM-5:30 PM
B207 (GWCC)
Host: 14th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)
Chair:  Kayo Ide, Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD

Papers:
  4:00 PM
10A.1
Regularization of error covariance with the Gaussian graphical model
Genta Ueno, The Institute of Statistical Mathematics, Tokyo, Japan; and T. Tsuchiya
Recorded presentation

  4:15 PM
10A.2
A Bayesian method for estimating stochastic parameters
Xiaosong Yang, NOAA/GFDL, Princeton, NJ; and T. DelSole
Recorded presentation

  4:30 PM
10A.3
Improve 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
Recorded presentation

  4:45 PM
10A.4
On the use of model physics parameters as control variables in data assimilation systems
Derek J. Posselt, University of Michigan, Ann Arbor, MI
Recorded presentation

  5:00 PM
10A.5
Impact 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
Recorded presentation

  5:15 PM
10A.6
What constrains the growth of spread in ensemble Kalman filters?
Tom Hamill, NOAA/ESRL, Boulder, CO; and J. Whitaker
Recorded presentation

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