18th Conference on Weather and Forecasting, 14th Conference on Numerical Weather Prediction, and Ninth Conference on Mesoscale Processes

Poster Session 1: Poster Session - Numerical Data Assimilation Techniques—with Coffee Break

Monday, 30 July 2001: 2:30 PM-4:00 PM
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Organizer:  Mary Alice Rennick, FNMOC
Papers:
 
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

Poster PDF (65.5 kB)
 
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

Poster PDF (101.3 kB)
 
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

Poster PDF (98.4 kB)
 
P1.13
Estimation of model and data biases using the variational data assimilation method
Chungu Lu, NOAA/ERL/FSL, Boulder, CO; and O. Talagrand

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