Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 3
Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1593-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-13-1593-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 3
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

Viewed

Total article views: 2,832 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,036 735 61 2,832 177 62 61
  • HTML: 2,036
  • PDF: 735
  • XML: 61
  • Total: 2,832
  • Supplement: 177
  • BibTeX: 62
  • EndNote: 61
Views and downloads (calculated since 01 Jul 2019)
Cumulative views and downloads (calculated since 01 Jul 2019)

Viewed (geographical distribution)

Total article views: 2,832 (including HTML, PDF, and XML) Thereof 2,684 with geography defined and 148 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
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.
Read more
Special issue
Holistic Analysis of Aerosol in Littoral Environments - A...