Poster Session 1 |
| | Poster Session - Numerical Data Assimilation Techniques—with Coffee Break |
| | Organizer: Mary Alice Rennick, FNMOC, Monterey, CA
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| | P1.1 | Regional studies and applications with a variable-resolution stretched-grid data assimilation system
Michael S. Fox-Rabinovitz, University of Maryland, College Park, MD |
| | P1.2 | Assimilation and forecast of Hurricane Floyd with the DAO Finite-Volume Data Assimilation System
Jiun-Dar Chern, NASA/GSFC, Greenbelt, MD; and S. J. Lin and A. M. da Silva |
| | P1.3 | A finite-volume “shaving” method for interfacing NASA/DAO’s Physical Space Statistical Analysis System to the finite-volume GCM with a Lagrangian control-volume vertical coordinate
Shian-Jiann Lin, NASA/GSFC, Greenbelt, MD; and A. M. da Silva |
| | P1.4 | Moisture analysis in the DAO physical-space/finite-volume data assimilation system
Dick P. Dee, NASA/GSFC, Greenbelt, MD; and A. M. da Silva |
| | P1.5 | Model bias correction in the DAO physical-space/finite-volume data assimilation system
Banglin Zhang, General Sciences Corp., Beltsville and NASA/GSFC, Greenbelt, MD; and D. P. Dee, A. M. da Silva, and R. Todling |
| | P1.6 | A Tendency-Correction Procedure for Assimilating Rainfall Data in the Presence of Model Errors
Sara Zhang, NASA/GSFC, Greenbelt, MD; and A. M. da Silva and A. Y. Hou |
| | P1.7 | Global 3D variational analysis on physical space 
Wan-Shu Wu, NOAA/NWS/NCEP, Washington, DC; and R. J. Purser |
| | P1.8 | The Met Office 3D-Var stratosphere-troposphere data assimilation system
Richard Swinbank, Met Office, Bracknell, Berks., United Kingdom; and N. B. Ingleby, P. M. Boorman, and R. J. Renshaw |
| | P1.9 | Evaluation of a bogus vortex technique using four-dimensional variational data assimilation
Zhao-Xia Pu, University of Maryland, Baltimore County, Greenbelt, MD; and S. Braun |
| | P1.10 | Impact of Diabatic Processes on 4-Dimensional Variation with the Global Spectral Model at NCEP/NOAA
S. Zhang, NOAA/GFDL, Princeton, NJ; and X. Zou and J. E. Ahlquist |
| | P1.11 | On providing a cloud-balanced initial condition for diabatic initialization
John A. McGinley, NOAA/ERL/FSL, Boulder, CO; and J. R. Smart |
| | P1.12 | Adaptive tuning of observation error parameters in a variational data assimilation
Gerald Desroziers, Meteo France, CNRM, Toulouse, France; and B. Chapnik, S. Ivanov, and F. Rabier |
| | P1.13 | Estimation of model and data biases using the variational data assimilation method
Chungu Lu, NOAA/ERL/FSL, Boulder, CO; and O. Talagrand |