Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1593-2020
https://doi.org/10.5194/amt-13-1593-2020
Research article
 | 
02 Apr 2020
Research article |  | 02 Apr 2020

Towards objective identification and tracking of convective outflow boundaries in next-generation geostationary satellite imagery

Jason M. Apke, Kyle A. Hilburn, Steven D. Miller, and David A. Peterson

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Latest update: 24 Apr 2024
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Short summary
Objective identification of deep convection outflow boundaries (OFBs) in next-generation geostationary satellite imagery is explored here using motion derived from a tuned advanced optical flow algorithm. Motion discontinuity preservation within the derivation is found crucial for successful OFB tracking between images, which yields new meteorological data for objective systems to use. These results provide the first step towards a fully automated satellite-based OFB identification algorithm.