Session 9 Mesoscale predictability and data assimilation

Wednesday, 7 August 2013: 3:30 PM-6:00 PM
Multnomah (DoubleTree by Hilton Portland)
Host: 15th Conference on Mesoscale Processes
Chair:
Fuqing Zhang, Pennsylvania State University, Department of Meteorology, University Park, PA

Papers:
3:30 PM
9.1
Smartphone Pressure Observations: A Revolutionary Advance for Mesoscale Meteorology?
Clifford F. Mass, University of Washington, Seattle, WA; and L. E. Madaus
Recorded Presentation

3:45 PM
9.2
Refining horizontal grid spacing for storm-scale forecasts: beneficial or detrimental?
Madalina Surcel, McGill University, Montreal, QC, Canada; and I. Zawadzki and M. K. Yau

4:00 PM
9.3
Evaluation of Wind Ramp Forecasts using Variational and Ensemble Data Assimilation over the WFIP Southern Study Region
Brian C. Ancell, Texas Tech University, Lubbock, TX
Recorded Presentation

4:15 PM
9.4
Sources of uncertainty in precipitation type determination and forecasting
Heather D. Reeves, NOAA/NSSL, Norman, OK; and K. L. Elmore, A. V. Ryzhkov, K. L. Ortega, T. J. Schuur, and J. Krause
Recorded Presentation

4:30 PM
9.5
The Predictability of a Squall Line in South China on 23 April 2007
Zhiyong Meng, Peking University, Beijing, China; and D. Wu and D. Yan
Recorded Presentation

4:45 PM
9.6
Convection-permitting forecasts initialized with continuously cycling limited-area 3DVAR, ensemble Kalman filter, and “hybrid” variational-ensemble data assimilation systems
Craig S. Schwartz, NCAR, Boulder, CO; and Z. Liu
Recorded Presentation

5:00 PM
9.7
The role of moist processes on intrinsic predictability of Indian Ocean Cyclones
Sourav Taraphdar, PNNL, Richland, WA; and L. R. Leung, P. Mukhopadhyay, F. Zhang, S. Abhilash, and B. N. Goswami
Recorded Presentation

5:15 PM
9.8
Impact of Radar Data Assimilation on the Simulation of Typhoon Morakot (2009)'s Rainband Using the Ensemble Kalman Filter
Jian Yue, Peking University, Beijing, China; and Z. Meng, C. K. Yu, and L. W. Cheng
Recorded Presentation

5:30 PM
9.9
The predictability of tropical cyclogenesis examined through ensemble data assimilation experiments for Hurricane Karl (2010)
Jonathan Poterjoy, Penn State University, University Park, PA; and F. Zhang
Recorded Presentation

5:45 PM
9.10
Diagnosing the Predictability of Tropical Cyclogenesis via the ECMWF Ensemble
William Komaromi, Univ. of Miami/RSMAS, Miami, FL; and S. J. Majumdar
Recorded Presentation

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