An Approach to Selection of Wind Tracers from Tropical Maritime Geosynchronous Satellite Cloud Imagery.
MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER
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Manual and automatic procedures for obtaining wind estimates from geosynchronous, dual-channel satellite cloud imagery are reviewed as background material for a proposed automatic system of extracting upper-level wind estimates from tropical maritime regions containing cirrus and low-level clouds. The manual procedures for satellite photointerpretation are subdivided into two stages 1 determination of cloud genus based on textural and tonal characteristics and on known relationships between synoptic and cloud features, and 2 selection of cloud targets based on cloud genus, reliability of emissivity estimate for the target, and conformity of motion with advective mechanisms. A summary of the automatic operational system of NESS for low-level wind estimation and its extension to upper-level wind estimation is presented. A model for obtaining upper-level wind estimates is proposed.