Session 5 |
| | Data Impact Tests and Observing System Simulation Experiments (OSSE) |
| | Cochairs: G. David Emmitt, Simpson Weather Associates, Inc., Charlottesville, VA; Ward R. Seguin, NOAA/OAR, Silver Spring, MD
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| 8:30 AM | 5.1 | The use of global AIRS hyperspectral observations in numerical weather prediction  
John F. Le Marshall, Joint Center for Satellite Data Assimilation, Camp Springs, MD; and J. Jung, T. H. Zapotocny, W. L. Smith, D. K. Zhou, J. Derber, R. Treadon, S. Lord, M. Goldberg, and W. Wolf |
| 8:45 AM | 5.2 | Use of the ensemble Kalman filter in a global coupled seasonal prediction system: impact on prediction skill and other issues
Christian L. Keppenne, SAIC, Greenbelt, MD; and M. M. Rienecker, R. M. Kovach, J. Marshak, and J. P. Jacob |
| 9:00 AM | 5.3 | Ensemble data assimilation of satellite radiances
Jeffrey Whitaker, NOAA/ESRL, Boulder, CO; and T. M. Hamill |
| 9:15 AM | 5.4 | Improved analyses and forecasts with AIRS retrievals using the local ensemble transform Kalman filter
Hong Li, Univ. of Maryland, College Park, MD; and J. Liu, E. Fertig, E. Kalnay, J. Aravequia, I. Szunyogh, E. J. Kostelich, and R. Todling |
| 9:30 AM | 5.5 | Impact of ground-based GPS observations on the Canadian Regional Analysis and Forecast System
Stephen R. Macpherson, MSC, Dorval, QC, Canada; and G. Deblonde, J. Aparicio, and B. Casati |
| 9:45 AM | 5.6 | The impact of data interaction on targeted observations with a 4D-Var data assimilation and forecast system
Dacian N. Daescu, Portland State University, Portland, OR; and I. M. Navon, S. Akella, and G. Erlebacher |
| 10:00 AM | | Coffee Break in Meeting Room Foyer
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| 10:30 AM | 5.7 | The influence of observations on 1-10 day forecasts
Daniel Hodyss, NRL, Monterey, CA; and S. J. Majumdar |
| 10:45 AM | 5.8 | Evaluation of WINDSAT surface wind data and its impact on ocean surface wind analyses and numerical weather prediction
Robert Atlas, NOAA/AOML, Miami, FL; and O. Reale, J. Ardizzone, J. Terry, J. -. C. Jusem, E. Brin, D. Bungato, and J. F. Le Marshall |
| 11:00 AM | 5.9 | Analysis of Hurricanes Using Unmanned Aircraft Systems (UAS) and COSMIC Satellite Data
Patrick J. Fitzpatrick, GeoResources Institute, Stennis Space Center, MS; and Q. Xiao, G. J. Holland, Y. H. Kuo, J. J. Cione, and C. M. Hill |
| 11:15 AM | 5.10 | Applications in exploiting Synthetic Aperture Radar for hurricane initialization and simulation
Weizhong Zheng, QSS Group, Inc., Lanham, MD; and X. Li, C. Z. Zou, and W. G. Pichel |
| 11:30 AM | 5.11 | The Impact of Low-Cost Lagrangian Drifters on Tropical Cyclone Analyses and Forecasts
Joe Dreher, ENSCO Inc., Melbourne, FL; and J. Manobianco |
| 11:45 AM | 5.12 | The challenges of transferring observation research to operations
Ward R. Seguin, NOAA/OAR, Silver Spring, MD; and M. Uhart |
| 12:00 PM | | Lunch Break (Cash & Carry available in the Exhibit Hall)
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| 1:30 PM | 5.13 | The impact of assimilating radar and SCAN data on a WRF simulation of a Mississippi Delta squall line
Patrick J. Fitzpatrick, GeoResources Institute, Stennis Space Center, MS; and Q. Xiao, J. Sun, E. Lim, C. M. Hill, Y. Li, N. Tran, and J. L. Dyer |
| 1:45 PM | 5.14 | Sensitivity of Surface Analyses to RAWS observations
John D. Horel, University of Utah, Salt Lake City, UT; and D. Myrick |
| 2:00 PM | 5.15 | The Sensitivity of PBL Parameterizations Modeled by MM5 to Various Surface and Boundary Layer Parameters and their Impact on a Unique Satellite Data Assimilation Technique
Scott M. Mackaro, University of Alabama, Huntsville, AL |
| 2:15 PM | 5.16 | Initialization of Hurricane Jeanne (2004) Using Airborne Doppler Radar Data
Qingnong Xiao, NCAR, Boulder, CO; and C. Davis, X. Zhang, J. Tuttle, G. Holland, and Y. H. Kuo |
| 2:30 PM | | Formal Poster Viewing with Coffee Break
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| 4:00 PM | 5.17 | Impacts of assimilating Aura OMI and HIRDLS ozone on the NCEP Global Forecast System
Shuntai Zhou, NOAA/NWS/NCEP/CPC, Camp Springs, MD; and C. S. Long, A. J. Miller, L. E. Flynn, and T. Beck |
|  | 5.18 | An experimental framework for the evaluation of adaptive algorithms for observation thinning in data assimilation
Vladimir Bondarenko, University of Constance, Constance, Germany; and T. Ochotta, D. Saupe, and W. Wergen |
| 4:15 PM | 5.19 | The interaction between model resolution, observation resolution and observation density in data assimilation: a two-dimensional study
Vladimir Bondarenko, University of Constance, Constance, Germany; and T. Ochotta, D. Saupe, and W. Wergen |
| 4:30 PM | 5.20 | An OSSE study of TAMDAR data impact on mesoscale data assimilation and prediction
Yubao Liu, NCAR, Boulder, CO; and N. A. Jacobs, W. Yu, T. T. Warner, S. P. Swerdlin, and M. Anderson |