Advance mesoscale product development for GOES-R using operational and experimental satellite obrvations

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5549, Issue , 2004, Pages 105-113

  Hillger, Donald W ^a   Demaria, Mark ^a   Zehr, Raymond ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

GOES R; Imagery; Mesoscale; Satellite; Soundings

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; GEOSTATIONARY SATELLITES; IMAGE SENSORS; PRODUCT DEVELOPMENT; WEATHER SATELLITES;

GOES-R; MESOSCALE; SPATIAL RESOLUTION; TEMPORAL RESOLUTION;

REMOTE SENSING;

EID: 14944378579     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.564469     Document Type: Conference Paper

References (5)

1. D. Hillger, M. DeMaria, and L. Grasso, 2004: GOES-R Risk Reduction Activities at CIRA, CIRA Newsletter, 21, spring, 10-11, 15.
2. D.W. Hillger, and J.D. Clark, 2002a: Principal Component Image analysis of MODIS for volcanic ash, Part-1: Most important bands and implications for future GOES Imagers, J. Appl. Meteor., 41(10), 985-1001.
3. D.W. Hillger, and J.D. Clark, 2002b: Principal Component Image analysis of MODIS for volcanic ash, Part-2: Simulations of current GOES and GOES-M Imagers, J. Appl. Meteor., 41(10), 1003-1010.
4. D.W. Hillger, and G.P. Ellrod, 2003: Detection of important atmospheric and surface features by employing Principal Component Image transformation of GOES imagery, J. Appl. Meteor., 42(5), 611-629.
5. C.S. Velden, T.L. Olander, and R.M. Zehr, 1998: Development of an objective scheme to estimate tropical cyclone intensity from digital geostationary satellite infrared imagery. Wea. Forecasting, March, Amer. Meteor. Soc., 172-186.