Poster Session 1
	Lorenz Symposium Posters
		P1.1	Value of the NWS/NCEP Short Range Ensemble Forecast (SREF) system for Quantifying Mesoscale Model Error   Jeffery T. McQueen, NOAA/NWS/NCEP, Camp Springs, MD; and J. Du, B. Zhou, G. DiMego, B. Ferrier, G. Manikin, E. Rogers, H. Juang, and Z. Toth
		P1.2	Using numerical continuation to examine the predictability of the atmospheric boundary layer   Richard T. McNider, University of Alabama, Huntsville, AL; and M. Friedman, A. Biazar, and X. Shi
		P1.3	Time-step sensitivity of nonlinear atmospheric models: numerical convergence, truncation error growth and ensemble design   João Teixeira, UCAR Visiting Scientist, NRL, Monterey, CA; and C. A. Reynolds and K. Judd
		P1.4	The influence of rawinsonde observations on 3-7 day weather forecasts   Sharanya J. Majumdar, RSMAS/University of Miami, Miami, FL
		P1.5	Slow manifold and predictability   V. Krishnamurthy, COLA, Calverton, MD
		P1.6	Roots of ensemble forecasting   John M. Lewis, NOAA/NSSL, Reno, NV, NV
		P1.7	Quantifying observation impact with an adjoint-based procedure   Rolf H. Langland, NRL, Monterey, CA
		P1.8	Quantifying and reducing uncertainty by employing model error estimation methods   Dusanka Zupanski, CIRA/Colorado State University, Fort Collins, CO
		P1.9	Predictability as gleaned from recent Eta Model results: can we still significantly increase synoptic-scale NWP skill out to several days?   Fedor Mesinger, NOAA/NWS/NCEP/EMC and UCAR, Camp Springs, MD
		P1.10	Predictability—Who is the Main Player: IC or Model Physics Uncertainty?   Jun Du, NOAA/NWS/NCEP, Camp Springs, MD; and J. McQueen
		P1.11	On the predictability of mesoscale convective systems   David J. Stensrud, NOAA/NSSL, Norman, OK; and L. J. Wicker
		P1.12	Non-Gaussian probability distributions: What are their implications for predictability?   Philip Sura, NOAA-CIRES Climate Diagnostics Center, Boulder, CO; and M. Newman, C. Penland, and P. Sardeshmukh
		P1.13	Model Predictability – From Lorenz System to Operational Ocean/Atmospheric Models   Peter C. Chu, NPS, Monterey, CA; and L. M. Ivanov
		P1.14	Model error, attractors, and predictability   Kevin Judd, University of Western Australia, Perth, Western Australi, Australia; and C. A. Reynolds and T. E. Rosmond
		P1.15	Model diversities and their implication in multi-model ensembles   Dingchen Hou, NOAA/NWS/NCEP/EMC, Camp Springs, MD; and Z. Toth, Y. Zhu, and R. Wobus
		P1.16	Maximum likelihood ensemble filter: exploiting dynamic localization of Lyapunov vectors   Milija Zupanski, Colorado State University, Fort Collins, CO; and S. J. Fletcher, I. M. Navon, and B. Uzunoglu
		P1.17	Local Lagrangian and Eulerian available energetics in moist atmospheres   Peter R. Bannon, The Pennsylvania State University, University Park, PA
		P1.18	Intercomparison of Global Research and Operational Forecasts   Jennifer C. Roman, AFWA/DNXT, Offutt AFB, NE; and G. Miguez-Macho, L. A. Byerle, and J. Paegle
		P1.19	Initial-time sensitivity of tropical cyclone track forecasts   Melinda S. Peng, NRL, Monterey, CA; and C. A. Reynolds
		P1.20	Flow and Regime dependent mesoscale predictability   Fuqing Zhang, Texas A&M University, College Station, TX; and C. Snyder and R. Rotunno
		P1.21	Extratropical control of subtropical humidity: diagnosis using tracers of last saturation   Joseph Galewsky, Columbia University, New York, NY; and A. H. Sobel and I. M. Held
		P1.22	EOFs –myths, misconceptions and open problems   Ian T Jolliffe, University of Reading, Cowes, Isle of Wight, United Kingdom
		P1.23	Ensemble Data Assimilation with the NCEP GFS   Jeffrey S. Whitaker, NOAA-CIRES/CDC, Boulder, CO; and T. M. Hamill
		P1.24	Energy-conserving and Hamiltonian extensions of the Lorenz model   Alexander Gluhovsky, Purdue University, West Lafayette, IN
		P1.25	Diagnosis of medium-range predictability enhancement associated with anomalous zonal flow over western North America during winter   Lee A. Byerle, AWS, Papillion, NE; and J. Paegle
		P1.26	Off-line sequential bias estimation experiments with a Lorenz model   Joshua P. Hacker, NCAR, Boulder, CO; and C. Snyder
		P1.27	Available potential energy and its relatives   Theodore G. Shepherd, University of Toronto, Toronto, ON, Canada
		P1.28	Assessing Predictability using Linear Inverse Models   Prashant D. Sardeshmukh, NOAA-CIRES Climate Diagnostics Center, Boulder, CO; and M. Newman and C. Penland
		P1.29	Another look at predictability in flows with many scales   Chris Snyder, NCAR, Boulder, CO; and R. Rotunno, F. Zhang, and R. Morss
		P1.30	A simple 2-dimensional chaotic rain gush model   Stanley David Gedzelman, The City College of New York, New York, NY
		P1.31	A priori identification of the inferior solutions in an ensemble of dynamical forecasts   Wilbur Y. Chen, NOAA/NWS/NCEP/CPC, Camp Springs, MD
		P1.32	A dynamical system analysis of Lorenz's low order model of the general circulation   Joy Romanski, Columbia University, New York, NY; and W. B. Rossow
		P1.33	Singular vectors computed with a flow-dependent analysis error covariance norm   Mark Buehner, MSC, Dorval, QC, Canada; and A. Zadra

Thursday, 13 January 2005: 9:45 AM-9:45 AM

* - Indicates paper has been withdrawn from meeting

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