Session 9A Data Assimilation: Error covariances and hybrid methods

Wednesday, 3 June 2009: 10:30 AM-12:00 PM
Grand Ballroom East (DoubleTree Hotel & EMC - Downtown, Omaha)
Host: 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction
Zhaoxia Pu, University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT
Steven Rugg, Air Force Weather Agency, Offutt AFB, NE

10:30 AM
Status report on Rapid Refresh development
Stephen S. Weygandt, NOAA/ESRL/GSD, Boulder, CO; and T. G. Smirnova, M. Hu, J. M. Brown, D. Dévényi, S. G. Benjamin, W. R. Moninger, S. E. Peckham, G. A. Grell, K. J. Brundage, B. D. Jamison, C. W. Harrop, and J. B. Olson
11:00 AM
Impacts of different background error covariance matrices on 4DVAR data assimilation
Lei Zhang, Univ. of Utah, Salt Lake City, UT; and C. Qiu and Z. Pu
11:15 AM
A hybrid ensemble Kalman filter approach to data assimilation in a two-dimensional shallow water model
Lili Lei, University of Colorado, CIRES Climate Diagnostics Center, Boulder, CO; and D. R. Stauffer
11:30 AM
A Hybrid Data Assimilation System (WRF-VAR and Ensemble Transform Kalman Filter) Based Retrospective Tests with Real Observations
Meral Demirtas, NCAR, Boulder, CO; and D. Barker, Y. Chen, J. Hacker, X. Y. Huang, C. Snyder, and X. Wang
11:45 AM
A comparison of the hybrid and EnSRF analysis schemes in the presence of model errors due to unresolved scales
Xuguang Wang, Univ. of Oklahoma, Norman, OK; and T. Hamill, J. Whitaker, and C. H. Bishop
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