Paper
18 October 1996 Automated cloud-motion winds from GOES-8 and -9
Steven J. Nieman, W. Paul Menzel, Christopher S. Velden, Steve Wanzong
Author Affiliations +
Abstract
Automated procedures for deriving cloud-motion vectors from a series of geostationary images have been developed by the Cooperative Institute for Meteorological Satellite Studies (CIMSS) and have been operational in NOAA since 1993. Since that time, CIMSS has continued work to improve the processing techniques, upgrade the quality of the product, and add further capabilities. Scientific improvements include the addition of the water-vapor intercept technique for assigning heights to semi-transparent clouds, a new version of the automated quality control algorithm which reduces the large mean slow bias observed in the initial system, and improved selection of suitable tracers. These improvements have been successfully applied to the 'Day 1' GOES-8/9 operational winds system in NOAA. Research has already begun to define 'Day 2' operations. Improved resolution and signal of the GOES-8/9 imager has made automated water-vapor motion vector production possible for the first time, enabling the measurement of wind velocities in clear air. Work has begun on an automated algorithm for imagery registration quality control and the optimal density for wind products as a function of coverage and computing power is being investigated.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven J. Nieman, W. Paul Menzel, Christopher S. Velden, and Steve Wanzong "Automated cloud-motion winds from GOES-8 and -9", Proc. SPIE 2812, GOES-8 and Beyond, (18 October 1996); https://doi.org/10.1117/12.254121
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Cited by 1 scholarly publication.
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KEYWORDS
Image registration

Clouds

Wind measurement

Control systems

Satellites

Digital filtering

Imaging systems

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