|  | JP6.8 | Hourly Analyses with NAVDAS 3DVAR System for COAMPS-OS
Keith D. Sashegyi, NRL, Monterey, CA; and P. M. Pauley, M. D. Frost, and D. A. Geiszler |
| | JP6.9 | Recent developments in the Canadian Operational Network of Coupled Environmental PredicTion Systems (CONCEPTS)
Harold Ritchie, Environment Canada, Dartmouth, NS, Canada; and F. Davidson, G. M. Flato, Y. Lu, P. Pellerin, W. Renaud, M. Taillefer, K. Thompson, B. Topliss, and D. Wright |
| | JP6.10 | Upper-air forecast improvement utilizing radiance bias correction algorithms that account for forecast model bias
Young-Joon Kim, NRL, Monterey, CA; and W. F. Campbell and S. D. Swadley |
| | JP6.11 | Data assimilation and regional forecasts using Atmospheric InfraRed Sounder (AIRS) profiles 
Shih-Hung Chou, NASA/MSFC, Huntsville, AL; and B. Zavodsky and G. J. Jedlovec |
| | JP6.12 | Microburst windspeed potential assessment: progress and developments
Kenneth L. Pryor, NOAA/NESDIS, Camp Springs, MD |
| | JP6.13 | Using satellite observations to validate a large-scale high-resolution WRF model simulation
Jason Otkin, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Sieglaff, T. Greenwald, and Y. K. Lee |
| | JP6.14 | Calibrating probabilistic multimodel ensemble pentad and weekly precipitation forecasts: a comparison of techniques
Dan C. Collins, NOAA/NWS/NCEP/CPC, Camp Springs, MD; and T. M. Hopson and D. A. Unger |
| | | JP6.17 has been moved to Poster Session II in IIPS
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| | JP6.15 | An operational mesoscale ensemble data assimilation and prediction system: E-RTFDDA
Yubao Liu, NCAR, Boulder, CO; and G. Roux, M. Xu, T. Hopson, J. Hacker, J. Knievel, T. Warner, and S. Swerdlin |
| | JP6.16 | Global capability for AFWA's Diagnostic Cloud Forecast system
John M. Henderson, AER, Lexington, MA; and T. Nehrkorn, J. B. Eylander, and C. Carlson |
| | JP6.19 | A robust neural network ensemble approach for snowfall detection using AMSU data
Yajaira Mejia, NOAA/CREST at City College of New York, New York, NY; and H. Ghedira and D. R. Khanbilvardi |
| | JP6.18 | A technique for creating composite sea surface temperatures from NASA's MODIS instruments in order to improve numerical weather prediction
Daran L. Rife, NCAR, Boulder, CO; and A. N. Hahmann and J. C. Knievel |
| | JP6.20 | Impact of atmospheric infrared sounder (AIRS) and QuickSCAT satellite data on numerical simulations of tropical cyclone intensity changes
Zhaoxia Pu, University of Utah, Salt Lake City, UT; and L. Zhang |
| | JP6.21 | Sensitivity of short-term weather forecasts to assimilated AIRS data: Implications for NPOESS applications
Bradley T. Zavodsky, University of Alabama, Huntsville, AL; and W. McCarty, S. H. Chou, and G. J. Jedlovec |
| | JP6.22 | An observing system simulation experiment to evaluate CrIS / ATMS observations in modeling a mesoscale weather event
Christopher M. Hill, Mississippi State Univ., Stennis Space Center, MS; and P. J. Fitzpatrick, X. Fan, V. Anantharaj, M. Masutani, L. P. Riishojgaard, and Y. Li |
| | JP6.23 | Assimilation of simulated GOES-R imager data in a generalized cloud analysis package within the hourly updated Rapid Refresh
Stanley G. Benjamin, NOAA/ESRL/GSD, Boulder, CO; and S. S. Weygandt, M. Hu, and D. Devenyi |
| | JP6.24 | Atmospheric Sounding Under Cloudy Atmospheric Conditions
Xu Liu, NASA/LaRC, Hampton, VA; and D. Zhou, A. Larar, W. L. Smith, P. Schluessel, S. A. Mango, and K. St. Germain |
| | JP6.26 | Evaluation of prediction with GOES radiance data assimilation in the WRF-ARW model over East Asia
Jianjun Xu, JCSDA/UCAR/AFWA, Camp Springs, MD; and S. Rugg |
| | JP6.25 | Improvements and plans for global and regional numerical weather prediction
Stephen J. Lord, NOAA/NWS/NCEP/EMC, Camp Springs, MD; and J. C. Derber, J. Ward, and G. DiMego |