Session 3
	Numerical weather prediction, data assimilation
	Chair: James Doyle, NRL, Monterey, CA
		3.1	Ensemble approaches to mesoscale predictability and dynamics   Gregory J. Hakim, University of Washington, Seattle, WA
	3:30 PM	3.1A	Data Assimilation in the Age of Cloud-Resolving NWP   William E. Lewis, Univ. of Wisconsin, Madison, WI
	4:00 PM	3.2	Ensemble-based data assimilation and prediction for Hurricanes: Impacts of assimilating Doppler radar observations   Fuqing Zhang, College Station, TX; and Y. Weng, Z. Meng, and Y. Chen
		3.3	Mesoscale FDDA Experiments with ACARS Data   Chia-bo Chang, Texas Tech University, lubbock, TX, Texas; and R. Dumais
	4:15 PM	3.4	Surface data assimilation using an ensemble Kalman filter: Forecast results from spring 2007   David J. Stensrud, NOAA/NSSL, Norman, OK; and N. Yussouf, D. Dowell, and M. C. Coniglio
	4:30 PM	3.5	Tests of an Ensemble Kalman Filter for Mesoscale and Regional-scale Data Assimilation: Real Data Application in Comparison to 3DVar   Zhiyong Meng, College Station, TX; and F. Zhang
		3.6	A comparison of the hybrid ensemble-variational and the ensemble Kalman filter data assimilation schemes for hurricane initialization   Xuguang Wang, NOAA/ESRL, Boulder, CO
	4:45 PM	3.6A	Development of the On-Line MM5 Tracer Model and its Applications to Sahara Dust Transport   S.-H. Chen, Univ. of California, Davis, CA; and J. Dudhia, J. S. Kain, T. Kindap, and E. Tan
	5:00 PM	3.7	Improving Precipitation Forecasts by the Operational Nonhydrostatic Mesoscale Model with the Kain-Fritsch Convective Parameterization and Cloud Microphysics   Masami Narita, Japan Meteorological Agency, Chiyoda-ku, Tokyo, Japan; and S. Ohmori

Monday, 6 August 2007: 3:30 PM-5:30 PM, Waterville Room

* - Indicates paper has been withdrawn from meeting

Browse or search the entire meeting