89th American Meteorological Society Annual Meeting

Joint Poster Session 2: GOES-R

Tuesday, 13 January 2009: 9:45 AM-11:00 AM
Hall 5 (Phoenix Convention Center)
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Cochairs:  James Gurka, NESDIS GOES-R Program Office; Timothy J. Schmit, NOAA/NESDIS/ORA; Frank Hinnant, NPOESS/IPO and Jane Whitcomb, NPOESS Integrated Program Office
Papers:
 
JP2.1
Synthetic satellite datasets for GOES-R ABI bands
Renate Brummer, CIRA/Colorado State Univ., Fort Collins, CO; and M. Sengupta, L. Grasso, D. W. Hillger, D. T. Lindsey, R. DeMaria, and M. DeMaria

 
JP2.2
GOES-R ABI product development
Donald W. Hillger, NOAA/NEDSIS, Fort Collins, CO CO; and M. DeMaria and R. Brummer

Poster PDF (193.4 kB)
 
JP2.3
An overview of the future GOES-R series data and products to be archived at the NOAA data centers
Philip Jones, STG, Inc., Asheville, NC; and D. Saunders and K. Knapp

 
JP2.4
Development of Land Products for GOES-R Satellite Mission
Yunyue Yu, NOAA/NESDIS, Camp Springs, MD; and D. Tarpley and M. D. Goldberg

 
JP2.5
The UW/CIMSS global land surface infrared emissivity database for GOES-R ABI simulation studies
Eva Borbas, Univ. of Wisconsin, Madison, WI; and R. O. Knuteson, S. W. Seemann, L. Moy, T. Greenwald, D. Tobin, and H. L. Huang

 
JP2.6
GOES-R/ABI for vegetation health monitoring
Felix Kogan, NOAA/NESDIS, Camp Springs, MD; and W. Guo and Y. Tian

 
JP2.7
Simulated GOES-R vegetation health product system

 
JP2.8
Synthetic GOES-R imagery of fires at 3.9 µm
Louie Grasso, CIRA/Colorado State Univ., Fort Collins, CO; and M. Sengupta, R. Brummer, R. DeMaria, and D. W. Hillger

 
JP2.9
Improving fire detection: Current GOES to GOES-R
Manajit Sengupta, CIRA/Colorado State Univ., Fort Collins, CO; and L. Grasso, R. Brummer, and D. W. Hillger

Poster PDF (166.4 kB)
 
JP2.10
Retrieving Upper and Lower Cloud Layer Properties Using the GOES-12 Imagery Data: Addressing Problems in Satellite Retrievals of Cloud Layers
Fu-Lung Chang, SSAI, Hampton, VA; and P. Minnis, B. Lin, R. Palikonda, and D. A. Spangenberg

 
JP2.11
Comparison of the GOES-R cloud Algorithm Working Group's daytime cloud optical property products to those from MODIS, AVHRR and VIIRS
William Straka III, CIMSS/Univ. of Wisconsin, Madison, WI; and A. Walther and A. K. Heidinger

 
JP2.12
The introduction and evaluation of a prototype GOES-R fog/low stratus algorithm using SEVIRI, CALIPSO and surface observations
Corey G. Calvert, CIMSS/Univ. of Wisconsin, Madison, WI; and M. J. Pavolonis

 
JP2.13
An analysis of the seasonal and diurnal variation of total precipitable water (TPW) from satellite and ground-based instruments over the ARM-SGP site
Sarah Bedka, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Cychosz, M. Evansen, R. Knuteson, H. E. Revercomb, D. Tobin, and D. D. Turner

Poster PDF (287.8 kB)
 
JP2.14
Status update from the GOES-R Hydrology Algorithm Team
Robert J. Kuligowski, NOAA / NESDIS, Camp Springs, MD

 
JP2.15
Prototyping SST Retrievals from GOES-R ABI with MSG SEVIRI data
Nikolay Shabanov, NOAA/NESDIS, IMSG Inc, Camp Springs, MD; and A. Ignatov, B. Petrenko, Y. Kihai, X. Liang, W. Guo, F. Xu, P. Dash, M. Goldberg, and J. Sapper

Poster PDF (1.2 MB)
 
JP2.16
Sea and lake ice characteristics from GOES-R ABI
Xuanji Wang, CIMSS/Univ. of Wisconsin, Madison, WI; and Y. Liu and J. Key

 
JP2.17
An automated approach for determining sea ice concentration for the future GOES-R ABI sensor
Marouane Temimi, NOAA-CREST, New York, NY; and H. Ghedira, R. Khanbilvardi, and P. Romanov

 
JP2.18
Snow cover mapping technique for GOES-R ABI
Peter Romanov, NOAA-CREST, New York, NY; and C. Kongoli

 
JP2.19
Implementation of the GOES-R AWG product processing system framework
Walter Wolf, NOAA/NESDIS, Camp Springs, MD; and L. Zhou, P. Keehn, Q. Guo, S. Sampson, S. Qiu, and M. Goldberg

 
JP2.20
Quality Assessment of the GOES-R AWG Level 2 Product Processing System
Lihang Zhou, Perot System, Fairfax, VA; and W. Wolf, Q. Shuang, W. Wang, P. Keehn, Q. Guo, S. Sampson, and M. D. Goldberg

 
JP2.21
GeoSTAR—A “Geostationary AMSU”
Bjorn H. Lambrigtsen, JPL and California Institute of Technology, Pasadena, CA; and T. Gaier and L. Herrell

 
JP2.22
Mesoscale sounding capabilities with GOES-R and beyond
William Smith Sr., Hampton Univ., Hampton, VA; and H. Revercomb and J. Tian

 
JP2.23
Evaluation of GOES-R and NPOESS instrument in Joint OSSEs
Lars Peter Riishojgaard, JCSDA, Greenbelt, MD; and F. Weng, M. Masutani, T. Zhu, H. Sun, C. M. Hill, V. Anantharaj, P. J. Fitzpatrick, R. M. Errico, S. J. Lord, Y. Han, J. Woollen, D. Groff, and T. J. Kleespies

See more of: Fifth Annual Symposium on Future Operational Environmental Satellite Systems- NPOESS and GOES-R
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