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Accession Number ADA566114
Title Utilization of GOES Rapid-Scan Wind Data for Tropical Cyclone Predictability Experiments.
Publication Date Sep 2012
Media Count 4p
Personal Author C. S. Velden
Abstract The overarching goal of this research is to obtain special data sets of GOES rapid-scan (RS) atmospheric motion vectors (AMV) to assimilate and test for improvements in NAVY global numerical model (NOGAPS) forecasts of tropical cyclones (TC) using targeting information provided by NRL-MRY. There is the potential for forecast benefits with the GOES R/S-AMV since the higher image frequency yields more accurate observations in comparison to routinely-produced GOES AMV data. This is the motivation for this investigation. The proposed two- year effort will focus on the collection and processing of the RS datasets by the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin at Madison during two, 3-month focused periods of Atlantic TC activity in 2005 and 2006. These experimental and advanced datasets will be used for the following: (1) to demonstrate targeting concepts, (2) for satellite data assimilation trials, and (3) to test for predictability impacts on NOGAPS forecasts of TC tracks and intensity.
Keywords Atmosphere models
Cimss(Cooperative institute for meteorological satellite stu
Goes(Geostationary operational environmental satellite)
Infrared images
Meteorological data
Meteorological satellites
Nogaps(Navy operational global atmospheric prediction system
Rapid-scan atmospheric motion vectors
Rapid-scan wind data
Satellite imagery
Satellite meteorology
Tropical cyclone forecasting
Tropical cyclones
Weather forecasting

Source Agency Non Paid ADAS
NTIS Subject Category 55C - Meteorological Data Collection, Analysis, & Weather Forecast
82B - Photographic Techniques & Equipment
84G - Unmanned Spacecraft
Corporate Author Wisconsin Univ.-Madison. Cooperative Inst. for Meteorological Satellite Studies.
Document Type Technical report
Title Note Annual rept.
NTIS Issue Number 1306
Contract Number N00014-05-1-0494

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