6th Annual Symposium on Future National Operational Environmental Satellite Systems-NPOESS and GOES-R
    

Poster Session

 Poster Session - GOES-R
 Chair: Dick Reynolds, Short and Associates, Annapolis, MD
 301GOES-R AWG product processing system framework: implementing algorithms  
Walter W. Wolf, NOAA/NESDIS/STAR, Camp Springs, MD; and S. Sampson, Z. Cheng, P. Keehn, Q. Guo, S. Qiu, and M. Goldberg
 302Validation of Community Radiative Transfer Model through hyperspectral Infrared brightness temperature comparison over thin cirrus cloud region  
Yong-Keun Lee, CIMSS/Univ. of Wisconsin, Madison, WI; and T. Greenwald and A. Huang
 303Convective Initiation Algorithm for GOES-R  
Wayne M. MacKenzie Jr., University of Alabama in Huntsville, Huntsville, AL; and J. R. Walker and J. R. Mecikalski
 304An algorithm for deriving absorbed solar radiation at the surface from GOES-R  
Hye-Yun Kim, IMSG at NOAA/NESDIS, Camp Springs, MD; and I. Laszlo and H. Liu
 305GOES-R ABI Fire Detection and Characterization Algorithm Assessment Using MODIS and ASTER Data  
Wilfrid Schroeder, University of Maryland, College Park, MD; and C. C. Schmidt, S. S. Lindstrom, I. Csiszar, and J. P. Hoffman
 306Integrated cloud mask and quality control for GOES-R ABI SST: prototyping with MSG/SEVIRI  extended abstract
Nikolay Shabanov, NOAA/NESDIS, IMSG Inc, Camp Springs, MD; and A. Ignatov, B. Petrenko, Y. Kihai, and A. Heidinger
307Prototyping GOES-R ABI Hybrid SST Retrieval Algorithm with MSG/SEVIRI: Combining Regression and Radiative Transfer Model Approaches  
Boris Petrenko, NOAA/NESDIS/STAR, IMSG Inc, Camp Springs, MD; and A. Ignatov, N. Shabanov, Y. Kihai, and F. Xu
 308Model-derived proxy ABI radiance datasets used for GOES-R research and demonstration activities  
Jason A. Otkin, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Sieglaff, T. Greenwald, and A. Huang
 309Merits of the GOES-R ABI 13.3-μm Data for Inferring Upper-Troposphere Cloud Top Locations in the Presence of Multilayered Clouds  
Fu-Lung Chang, SSAI, Hampton, VA; and P. Minnis, J. K. Ayers, M. Khaiyer, L. Nguyen, R. Palikonda, and D. A. Spangenberg
 310A Weather Event Simulator (WES) for the GOES-R Advanced Baseline Imager (ABI)  
Timothy J. Schmit, NOAA/NESDIS/STAR, Madison, WI; and K. Bah, J. Gerth, M. Cronce, J. Otkin, and J. Sieglaff
 311A novel approach for improving the lightning detection efficiency of the GOES-R Geostationary Lightning Mapper  
Yuanming Suo, University of Alabama in Huntsville, Huntsville, AL; and L. D. Carey
 312Hyperspectral microwave atmospheric sounding from geostationary orbit: The GeoMAS concept  
William J. Blackwell, MIT Lincoln Laboratory, Lexington, MA; and L. J. Bickmeier, R. V. Leslie, C. A. Upham, and C. Surussavadee
 313GeoSTAR - A hurricane observatory  
Bjorn H. Lambrigtsen, JPL and California Institute of Technology, Pasadena, CA
 314Application of GOES and MSG data in NWP models  
Tong Zhu, CIRA/NOAA/NESDIS/STAR/Joint Center for Satellite Data Assimilation, College Park, MD; and F. Weng, J. Derber, R. L. Vogel, G. Krasowski, and M. Goldberg
 315GOES-R mesoscale product development at CIRA and STAR/RAMMB  
Renate Brummer, CIRA/Colorado State Univ., Fort Collins, CO; and C. Combs, B. H. Connell, M. DeMaria, R. T. DeMaria, J. F. Dostalek, L. Grasso, D. W. Hillger, J. Knaff, D. Zupanski, and D. T. Lindsey
 316Development of a statistical hail prediction product for the GOES-R proving ground  
Daniel T. Lindsey, NOAA/NESDIS, Fort Collins, CO; and C. W. Siewert
 317Forward morphing of passive microwave derived precipitation field with adjusted intensity from GOES information  
Ali Behrangi, University of California, Irvine, Irvine, CA; and K. Hsu, B. Imam, and S. Sorooshian
 318A Nested Tracking Approach for Reducing the Slow Speed Bias Associated with Atmospheric Motion Vectors (AMVs)  
Jaime M. Daniels, NOAA/NESDIS, Camp Springs, MD; and W. Bresky
 319Mountain wave detection as an aviation hazard awareness tool for GOES-R  
Anthony Wimmers, CIMSS/Univ. of Wisconsin, Madison, WI; and W. F. Feltz
 320High impact weather study using advanced IR sounding data  
Jinlong Li, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Li, H. Liu, and T. J. Schmit
 321A new ultra high resolution sea surface temperature analysis from GOES-R ABI and NPOESS VIIRS  extended abstract
Eileen Maria Maturi, NOAA/NESDIS/STAR, Camp Springs, MD; and A. Harris and J. Mittaz
 322Quality Assurance (QA) in the GOES-R AWG Product Processing System  
Zhaohui Cheng, NOAA/NESDIS, Camp Springs, MD; and W. W. Wolf, S. Qiu, S. Sampson, X. Liu, and M. Goldberg
 323Intercalibration activities at CIMSS in preparation for the GOES-R era  
Mathew M. Gunshor, CIMSS/Univ. of Wisconsin, Madison, WI; and D. Tobin, T. J. Schmit, and W. P. Menzel
 324Using McIDAS-V in preparation for the GOES-R ABI  extended abstract
Kaba Bah, CIMSS/Univ. of Wisconsin, Madison, WI; and T. J. Schmit, T. Achtor, T. Rink, W. Wolf, J. Otkin, J. Sieglaff, and J. Feltz
 325McIDAS-V data analysis and visualization development for the NPP/NPOESS and GOES-R programs  
Thomas H. Achtor, CIMSS/Univ. of Wisconsin, Madison, WI; and T. D. Rink and T. M. Whittaker
 380Performance modeling of the GOES R-series ground segment product generation function  
Julie McNeil, NOAA/NESDIS, Greenbelt, MD; and A. J. Ryberg Jr. and J. Gurka

Wednesday, 20 January 2010: 2:30 PM-4:00 PM

* - Indicates paper has been withdrawn from meeting

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