Extended Abstract (636K)JP1.6
Status and development of GOES Wind Products at NOAA/NESDIS
Jaime M. Daniels, NOAA/NESDIS/ORA, Camp Springs, MD; and C. Velden, G. A. Dengel, D. R. Stettner, and W. Bresky
This paper summarizes advances to the derivation of operational GOES winds at NOAA/NESDIS. NOAA/NESDIS and the Cooperative Institute for Meteorological Satellite Studies (CIMSS) continue to work closely to improve the quality of Atmospheric Motion Vectors (AMVs) derived from the GOES-I/M series of satellites. Efforts have been aimed at improving the wind algorithms and processing strategies while developing new products. This paper summarizes work with rapid scan winds, 3.9um cloud-drift winds, clear-air water vapor winds, and winds derived from GOES-12, NOAA's newest geostationary satellite. By participating in a number of field campaigns, NESDIS has demonstrated the capability of generating rapid scan winds on an hourly basis. This capability will lay the foundation for operational generation of such datasets in the future. Rapid scan winds generated in these field campaigns have shown utility both in numerical weather prediction models and the day-to-day forecasting process. The newest operational wind product is the low-level cloud-drift winds derived from 3.9um imagery. This is a night-time product that supplements the current low-level cloud-drift winds derived from the infrared window channel. The newest GOES satellite, GOES-12, was successfully launched on July 23, 2001. Significant changes made to the imager aboard GOES-12 include the addition of a 13.3um channel at 8km resolution and improvement in the resolution of the 6.7um water vapor channel from 8km to 4km. The addition of the 13.3um channel affords the opportunity to use the CO2 slicing algorithm to assign heights to viable cloud tracers. The higher resolution of the water vapor channel offers the potential to improve the water vapor wind products. Results from tests run using these new and improved channels during the GOES-12 science checkout period will be presented.
Joint Poster Session 1, Operational Applications and Artificial Intelligence (Joint between 12th Conference on Satellite Meteorology and Oceanography and Third Conference on Artificial Intelligence Applications to Environmental Science)
Monday, 10 February 2003, 2:30 PM-4:00 PM
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