Poster Session 2B Data Assimilation Techniques and Applications

Tuesday, 8 November 2016: 3:00 PM-4:30 PM
Broadway Rooms (Hilton Portland )
Host: 28th Conference on Severe Local Storms
Cochairs:
James Marquis, Univ. of Colorado, ATOC, Boulder, CO and Jana B. Houser, Ohio Univ., Geography, Athens, OH

Papers:
66
Analysis of the 6 September 2015 Tornadic Storm around the Tokyo Metropolitan Area using a 3DVAR and Incremental Analysis Updates Coupling
Ken-Ichi Shimose, National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan; and S. Shimizu, R. Kato, S. I. Suzuki, T. Maesaka, Y. Susse, K. Kieda, R. Misumi, and K. Iwanami

67
Assimilating Surface Observations in a Four-Dimensional Variational Doppler Radar Data Assimilation System for the Analysis and Forecast of a Squall Line Case
Kun Zhao, Nanjing Univ., Nanjing, China; and X. Chen, J. Sun, B. Zhou, and W. Lee

68
Impact of Data Assimilation Variations on 1-km Forecasts of 24 May 2011 Tornadic Supercells
Derek R. Stratman, CAPS, Norman, OK; and K. A. Brewster

Handout (1.8 MB)

69
Incremental Analysis Updating with Variable-Dependent Timing Applied in a Real-Time High Resolution Forecast System
Keith A. Brewster, Univ. of Oklahoma, Norman, OK; and D. R. Stratman, K. W. Thomas, and F. H. Carr
Manuscript (4.4 MB)

70
Convective-scale Data Assimilation of High-resolution Wind and Thermodynamic Observations during PECAN and VORTEX2
James Marquis, Univ. of Colorado, Boulder, CO; and J. Wurman and G. Romine

Handout (19.7 MB)

71
EnKF and Polarimetric Analyses of the 31 May 2013 El Reno, Oklahoma Supercell during Tornadogenesis
Patrick S. Skinner, CIMMS/Univ. of Oklahoma, Norman, OK; and J. C. Snyder, L. J. Wicker, H. B. Bluestein, and K. J. Thiem

Handout (27.3 MB)

72
Performance of the NSSL Experimental Warn-on-Forecast System for Ensembles (NEWS-e) during VORTEX-Southeast
Patrick S. Skinner, CIMMS/Univ. of Oklahoma, Norman, OK; and D. M. Wheatley, K. H. Knopfmeier, T. A. Jones, D. C. Dowell, T. T. Ladwig, C. R. Alexander, R. A. Sobash, G. J. Creager, C. K. Potvin, and L. J. Wicker

Handout (5.1 MB)

73
A Comparison of QPFs in Two Ensembles from the 2016 Spring Forecasting Experiment with and without Radar Data Assimilation
Eswar R. Iyer, CIMMS/Univ. of Oklahoma, Norman, OK; and A. J. Clark, M. Xue, F. Kong, C. J. Melick, and B. T. Gallo

74
Weather Radar Data assimilation Impact in Very Short Range Forecasting - a Squall Line Case Study in Brazil
Rafael Toshio Inouye, SIMEPAR - Parana Meteorological System, Curitiba, Brazil; and L. Calvetti, J. E. Gonçalves, B. B. Maske, R. L. Neundorf, C. Beneti, F. L. R. Diniz, E. P. Vendrasco, D. Herdies, L. G. G. D. Goncalves, and A. F. Leite

Handout (4.9 MB)

75
Sensitivities of Polarimetric Radar Forward Operators
Jeffrey C. Snyder, OU/CIMMS and NOAA/OAR/NSSL, Norman, OK; and A. V. Ryzhkov, D. T. Dawson II, Y. Jung, and A. Khain

5A.3
Impact of UAS Data on Supercell Evolution in an Observing System Simulation Experiment
Jason M. Keeler, Univ. of Nebraska, Lincoln, NE; and A. Houston

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