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

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

doi:https://doi.org/10.5194/amt-13-1593-2020

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:

Holistic Analysis of Aerosol in Littoral Environments - A...

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

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Final revised paper (published on 02 Apr 2020)
Supplement to the final revised paper
Preprint (discussion started on 01 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee Comments', Anonymous Referee #2, 14 Sep 2019
- AC1: 'Reply to Reviewer', Jason Apke, 20 Sep 2019
RC2: 'Short review of "Towards Objective Identification and Tracking of Convective Outflow Boundaries', Sebastian Schmidt, 14 Dec 2019
- AC2: 'Final Comments Response', Jason Apke, 25 Jan 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jason Apke on behalf of the Authors (04 Feb 2020) Author's response Manuscript

ED: Publish as is (17 Feb 2020) by Sebastian Schmidt

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.