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Proceedings Paper

Automated cloud-motion winds from GOES-8 and -9
Author(s): Steven J. Nieman; W. Paul Menzel; Christopher S. Velden; Steve Wanzong
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Paper 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.

Paper Details

Date Published: 18 October 1996
PDF: 8 pages
Proc. SPIE 2812, GOES-8 and Beyond, (18 October 1996); doi: 10.1117/12.254121
Show Author Affiliations
Steven J. Nieman, Cooperative Institute for Meteorological Satellite Studies (United States)
W. Paul Menzel, National Environmental Satellite Data and Information Service/NOAA (United States)
Christopher S. Velden, Cooperative Institute for Meteorological Satellite Studies (United States)
Steve Wanzong, Cooperative Institute for Meteorological Satellite Studies (United States)

Published in SPIE Proceedings Vol. 2812:
GOES-8 and Beyond
Edward R. Washwell, Editor(s)

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