11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

Session 4


Advanced Methods for Data Assimilation

 Chair: Michele M. Rienecker, NASA/GSFC, Greenbelt, MD
1:30 PM4.1Ensemble data assimilation with the NCEP Global Forecast System  
Jeffrey S. Whitaker, NOAA/ERL/CDC, Boulder, CO
1:45 PM4.2Using an ensemble data assimilation system for climate model development  
Jeffrey Anderson, NCAR, Boulder, CO; and K. Raeder, T. Hoar, and N. Collins
2:00 PM4.3Recent development of global and regional local ensemble transform Kalman filters (LETKF) at JMA  extended abstract wrf recording
Takemasa Miyoshi, Japan Meteorological Agency, Tokyo, Japan; and S. Yamane, Y. Sato, K. Aranami, and T. Enomoto
2:15 PM4.4The Canadian Meso4dvar continental analysis system: Pre-operational evaluations  extended abstract
Luc Fillion, MSC, Dorval, PQ, Canada; and M. Tanguay, Z. Liu, E. Lapalme, N. Ek, C. Page, and S. Pellerin
2:30 PM4.5Assessing observation impact using the adjoint of the GEOS-5 data assimilation system  
Ronald Gelaro, NASA/GSFC, Greenbelt, MD; and Y. Zhu
2:45 PM4.6Issues in Assimilation of Lagrangian Data  
Kayo Ide, University of California, Los Angeles, CA
3:00 PMCoffee Break in Exhibit Hall  
3:30 PM4.7An alternative to bias correction in retrievals and direct radiances assimilation  extended abstract wrf recording
Steven J. Fletcher, Colorado State University, Fort Collins, CO; and M. Zupanski
3:45 PM4.8Ensemble Kalman filter in the presence of model errors  extended abstract wrf recording
Hong Li, Univ. of Maryland, College Park, MD; and E. Kalnay, T. Miyoshi, and C. M. Danforth
4:00 PM4.9Comparing Local Ensemble Transform Kalman Filter with 4D-Var in a quasi-geostrophic model  
Shu-Chih Yang, Univ. of Maryland, College Park, MD; and E. Kalnay
4:15 PM4.10A hybrid ensemble transform Kalman filter(ETKF)-3DVAR data assimilation scheme for WRF  
Xuguang Wang, NOAA/ESRL, Boulder, CO; and D. Barker, C. Snyder, and T. Hamill
4:30 PM4.11Four-dimensional variational assimilation without using the adjoint model  extended abstract wrf recording
Hyo-Jong Song, Seoul National Univ., Seoul, South Korea; and G. H. Lim and H. S. Lee
4:45 PM4.12Predictor-corrector and morphing ensemble filters for the assimilation of sparse data into high-dimensional nonlinear systems  extended abstract wrf recording
Jan Mandel, University of Colorado at Denver and Health Sciences Center, and National Center for Atmospheric Research, Denver, CO; and J. D. Beezley
5:00 PM4.13Evaluating the ability of the Ensemble Transform Kalman Filter to predict the influence of observations on 3-6 day forecasts  extended abstract wrf recording
Kathryn J. Sellwood, Univ. of Miami/RSMAS, Miami, FL; and S. J. Majumdar and D. Hodyss

Tuesday, 16 January 2007: 1:30 PM-5:15 PM, 208

* - Indicates paper has been withdrawn from meeting

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